Many people who are successful in STEM fields were lucky to have someone who turned them on to a topic and encouraged their interest. For Faith Reyes, that person was her high school physics teacher, Ms. Bolster.
Whereas Reyes had earlier studied math and science without seeing how those subjects could be applied outside the classroom, her teacher helped her connect those dots and experience the excitement of investigating the physical world. With Ms. Bolster’s help, Reyes started a physics club where students would gather before school and conduct experiments.
“I just sort of fell in love with physics then,” Reyes says. “And luckily, as I began to study it more and more, I found I landed exactly where I wanted to be.”
Reyes has carried that enthusiasm for physics into not only her research but her role as a personal tutor and teaching assistant at MIT, where she works to foster the same love of the subject in first- and second-year undergraduate students.
As an experimental particle physicist and sixth-year PhD student in the Formaggio Group in the Laboratory for Nuclear Science, Reyes studies neutrinos, elementary particles that have vanishingly little mass and rarely interact with other matter. Neutrinos are produced during radioactive decay, including the processes taking place inside nuclear reactors. Because they interact so infrequently, detecting them can be difficult. (We can’t feel them, but neutrinos from the sun are streaming through our bodies every minute.) Their unusual behavior makes them valuable to physicists seeking to understand what lies beyond the Standard Model, the framework that describes many of the fundamental particles and forces in nature.
“The Standard Model is extremely accurate and describes most of everything that we see,” Reyes says. “But it’s not complete.”
Reyes is a member of the Ricochet neutrino experiment, an international collaboration studying neutrinos produced by a nuclear reactor at the Institut Laue-Langevin in Grenoble, France. The experiment seeks to observe coherent elastic neutrino-nucleus scattering, a low-energy interaction in which a neutrino scatters off an atomic nucleus.
Through Ricochet, scientists aim to investigate some properties of these elusive particles, and contribute to, as Reyes puts it, “just fundamentally understanding the world in which we live.”
When looking back at her time in graduate school, Reyes’ path has not always followed the plan she initially envisioned.
When she joined Ricochet, she expected to work on a particular project located at MIT. But a few years into her PhD, it was clear that the project would not be ready within her timeline. Reyes instead shifted her focus to work taking place in France, where she began learning the technical details of the experiment’s detectors.
Her first visit lasted three months. At the time, Ricochet had two detectors, and Reyes spent much of her time performing the routine work required to understand how they operated.
As the experiment expanded to nine detectors and eventually 18, the amount of work required to manage the system grew substantially. Reyes and a colleague recognized that many of the repetitive tasks could be automated.
Together, they developed a software framework that could perform much of the low-level analysis and detector monitoring that Reyes had initially carried out manually.
The project became an important part of her development as a physicist. By working closely with the detectors and helping build tools to manage them, Reyes gained a detailed understanding of the experiment’s operations.
“It’s sort of like you’re building your own stuff to replace yourself,” she says. “Which is nice in a way because you can save yourself a lot of time.”
The opportunity was both validating and humbling. As a graduate student, she had moved from learning the basics of the experiment to helping guide the work of other scientists.
“It felt like my collaborators trusted me, and I had something of value to give to the collaboration,” Reyes says.
The people she has met through MIT and the Ricochet collaboration have been among the most rewarding parts of her graduate experience. Students, mentors, and collaborators have helped her think critically and become a better physicist, she says.
Her increasing leadership responsibilities have also changed how she approaches research.
Earlier in her academic career, Reyes says, she was more comfortable being told what to do than proposing her own scientific ideas. Over time, leading projects and coordinating groups pushed her to become more confident in her judgment.
“I think I was sometimes not really standing up for myself,” she says. “But now I feel more confident in my position and my prowess as a physicist.”
That confidence has become one of the most important lessons of her PhD.
After completing her doctorate, Reyes hopes to continue conducting research. She is considering a postdoctoral position, which would allow her to continue working in physics at another institution.
Her time in France has also influenced her vision of the future. Reyes spent nine months there through the Chateaubriand Fellowship, following two earlier three-month visits. While the latest trip was primarily focused on research, working in the same office as her collaborators made it easier to coordinate across time zones and strengthened her connection to the experiment. She also grew fond of the country’s culture and work-life balance and would even consider living there.
“I fell in love with France and the people,” she says. “And also, the work culture.”
Outside the lab, Reyes enjoys playing video games and crocheting, a hobby she picked up during her time in France. She often crochets while watching movies or television, appreciating the opportunity to work with her hands while thinking about other things.
For a physicist whose work involves investigating some of the universe’s smallest and most elusive particles, the hobby offers a different kind of satisfaction: creating something tangible.
As Reyes moves toward the next stage of her career, she hopes to continue pursuing the questions that first drew her to physics. Her research may help reveal what lies beyond the Standard Model, but her experience at MIT has also shown her how much science depends on collaboration, adaptability, and the confidence to lead.
“I’ve learned a lot of lessons,” Reyes says. “Especially about wrangling people.”
Estimating suicide risk from textA new language-processing tool could help identify the highest-risk individuals from natural language, enabling swifter interventions.When people reach out during a mental health crisis, a top priority for counselors is identifying those with a high risk of suicide. The distressed person’s language holds critical clues, and a new tool developed by scientists at MIT’s McGovern Institute for Brain Research is designed to pick up on and rapidly evaluate those signals.
The language-processing tool was developed by Daniel Low, a former graduate student in Senior Research Scientist Satra Ghosh’s Senseable Intelligence Group who is now a research scientist at the Child Mind Institute, where he leads its AI, Risk, and Contemplative Science Lab, as well as a visiting scholar at Harvard University. It uses a custom-built list of words and phrases linked to 49 suicide risk factors, searching text for these and using them to estimate an individual’s risk.
Ghosh, Low, and colleagues report today in the Journal of Psychopathology and Clinical Science that their tool accurately predicts suicide risk from text conversations with crisis counselors. It is already helping to clarify which suicide risk factors matter most in times of crisis. With more validation, it could help with risk assessment in clinical settings and crisis-support situations.
Identifying key risk factors
Suicide attempts are notoriously difficult to predict. Dozens of risk factors have been linked to suicide, and even trained clinicians struggle to identify who will make an attempt among those who have some form of suicidal ideation. Among the factors that can make suicidal thoughts and behaviors more likely are certain psychiatric symptoms and disorders, like depression, borderline personality disorder, and post-traumatic stress disorder, as well as environmental and social stressors, like poverty, incarceration, discrimination, and loneliness.
“You see all these 50 risk factors, and they're all interacting in ways we don't really understand,” Low says. “Many different pathways could lead to someone feeling they want to escape their internal pain,” he says — and it’s challenging to know whose path will lead to a suicide attempt or death.
Ghosh and Low wanted to understand which risk factors counselors and clinicians should most look out for during a mental health crisis. To do that, they collaborated with the Crisis Text Line, whose trained volunteers provide confidential text-based support to people in distress.
Crisis Text Line, a global mental health nonprofit that provides free, 24/7, confidential mental health support for people in need, provided specialized training and controlled access to this restricted dataset. The researchers analyzed de-identified texts from approximately 16,000 conversations with Crisis Text Line’s volunteer crisis counselors. Based on Crisis Text Line’s assessments, those conversations were grouped into three different risk levels: non-suicidal, suicidal ideation without imminent risk, and imminent risk. It was this imminent risk group — those with a plan for suicide, or who have an intent to die within the next 48 hours — that the researchers most wanted to understand.
“We wanted to know what type of symptoms predict the highest suicide risk,” Low says. This question has been studied before, he says — but typically through epidemiological surveys that ask a person to recall their symptoms and experiences, often after their mental health crisis has passed. In contrast, he says, “Crisis Text Line gives us an opportunity to assess many different symptoms and potential risk factors as people are having the crises.”
Reading between the lines
Before analyzing the crisis line texts, the research team built a suicide-risk lexicon. They turned to artificial intelligence to generate a preliminary list of words and phrases tied to established suicide risk factors, including factors associated with suicidal ideation, suicide attempt, and suicide death. Then they manually reviewed and curated that list. Their final lexicon includes about 60 words or phrases for each of 49 risk factors, with the relevance of each one confirmed by expert clinicians.
Then they trained a machine learning model to search the crisis conversations for words and phrases in their lexicon and use these to predict suicide risk. Because the lexicon links each word or phrase to a specific risk factor, they could use these data to determine which risk factors are most closely tied to imminent risk among people in crisis.
What they found was consistent with patterns found in previous research, although not always intuitive. For example, depression is a well-known risk factor for suicidal ideation, but their model found that mentions of lethal means and substance use were more likely to be expressed by the highest-risk group than depressed mood or fatigue. Expressions of active suicidal ideation and self-injury were also strong predictors. Intermediate predictors included anxiety, post-traumatic stress disorder, and emotional pain.
The predictive model assigns a weight to each risk factor based on its contribution to risk. For example, mentions of lethal means for suicide, like “cut” or “pills,” are weighed heavily, whereas terms related to hopelessness, like “don’t know what to do” or “hopeless,” contribute to a lesser degree. After training their model, the team found they could use it to accurately predict risk severity in new conversations the model had not previously seen.
One limitation of lexicons, the researchers note, is that they do not consider the context of terms, and they can miss terms that are similar to those in the lexicon, but not explicitly included. Large language models have reasoning abilities, and Low and colleagues have developed ways of using large language models to detect suicide risk in other projects. However, they say they often use their lexicon in parallel to guarantee flagging certain terms, as well as to maintain data privacy.
Low stresses that while the team used the power of a large language model to develop its lexicon, its prediction model is a simpler, “lightweight” model. Unlike large language models, which require massive computational power, it can be run easily on a personal computer, reducing both cost and privacy concerns. Just as importantly, it is interpretable: Rather than merely generating a risk estimate like some deep learning models can do more effectively, it tells users how it got there. Words of concern can be flagged so users understand the basis for each assessment and act on that information. They are working on similar explainability approaches with large language models.
That’s critical, because the stakes are so high. “This is such a complex space that having a human in the loop is, I think, going to be critical for a long, long time,” says Ghosh, who is the director of the Open Data in Neuroscience Initiative at the McGovern Institute. Likewise, the researchers add that any predictive model must be thoroughly validated before clinical use, and might need to be continually refined to keep up with changes in language use or target populations.
Because a reliable lexicon opens doors to new ways of understanding mental health, Ghosh and Low are widely sharing not just their suicide risk lexicon, but also the software package they developed to build it. Researchers can use that tool to efficiently build lexicons for other mental health conditions. Meanwhile, Low says, the suicide risk lexicon is already being used to explore how text data from a variety of sources, from social media to electronic health records, might help researchers and clinicians better estimate risk.
Biologists identify a cellular pathway that allows colorectal cancer to metastasizeThey also found that obesity may put patients at higher risk for activation of the pathway. Drugs that block the pathway may help prevent metastasis.Most colon cancer deaths are caused by the spread of tumor cells beyond the colon, usually to the liver. In a new study, MIT biologists identified a cellular pathway necessary for colorectal cancer metastasis.
The pathway they identified, controlled by a protein known as YAP1, is normally involved in tissue repair. When activated in cancer cells, it promotes cell proliferation and migration. The researchers also found that a high-fat diet is more likely to turn on this pathway, through the production of fatty molecules called ceramides.
Drugs that block ceramide production could offer a new way to help prevent metastasis in patients diagnosed with colon cancer, the researchers say.
“We’ve found a pathway that we think is druggable. If we shut down the enzymes that make ceramides, tumor cells can’t switch on this regenerative program, and they largely fail to seed metastases in the liver,” says Omer Yilmaz, director of the MIT Stem Cell Initiative, a professor of biology at MIT and a member of MIT’s Koch Institute for Integrative Cancer Research. He is also a gastrointestinal pathologist and director of translational research in pathology at Beth Israel Deaconess Medical Center.
Yilmaz, Nilay Sethi, an associate professor of medicine at Harvard Medical School and Dana Farber Cancer Institute, and Alpaslan Tasdogan, head of the Institute for Tumor Metabolism and a professor in the Department of Dermatology at University Hospital Essen and the German Cancer Consortium (DKTK), are the senior authors of the study, which appears today in Science. MIT postdocs Swagata Goswami, Qiming Zhang, and Abdullah Burak Yildiz are the paper’s lead authors.
A hijacked pathway
In the United States, colon cancer is usually diagnosed at stage 2 or 3 — before the cancer has spread. However, even after successful surgery, up to a third of these patients will relapse with metastatic disease.
While scientists have identified many genetic mutations that drive the development of colon cancer, it’s unknown exactly what prompts them to spread beyond the colon.
“Many studies have looked for a genetic driver of metastasis and come up empty,” Yilmaz says. “There isn’t a defining mutational signature that separates metastatic cells from the primary tumor, which points to metastasis being driven largely by changes in which genes are switched on and off, rather than by new mutations.”
In this study, the researchers sought to identify epigenetic programs that enable colon cancer cells to metastasize. Using tumor organoids from mouse models of several types of colon cancer and from patients with colorectal cancer, they found that metastatic cells shared one key feature: activation of the YAP1 program.
YAP1 is a protein that works with partner factors to switch on genes related to development, stem cell maintenance, and regeneration. In normal tissue, it is active during fetal development, and after injury, to promote healing.
In the gut, that repair response runs through a rare, fetal-like cell type, which normally appears only briefly to rebuild the intestinal lining after damage. YAP1 has been linked to cancer for years, but the new work shows that diet-derived lipids push tumor cells into this specific regenerative state — and that the state itself is what licenses metastasis.
“The regenerative program that we described is generally observed in the gut when there is severe injury or infection and the gut needs to regenerate. We see the tumor cells hijack this program to drive metastatic progression,” Goswami says.
Activation of this set of genes helps cancer cells to break free from the original tumor site and spread to other locations in the body. For colon cancer, the most common site of metastasis is the liver, followed by the lungs.
In mouse studies, the researchers also found that cancer cells in animals fed a high-fat diet turned on YAP1 to a greater extent than mice fed a healthy diet. A high-fat diet, the researchers found, triggers activation of enzymes that produce ceramides, a type of lipid. Ceramides then release the molecular brake that normally keeps YAP1 inactive, allowing it to move into the nucleus and switch on its target genes.
Preventing metastasis
The researchers showed that genetically targeting YAP1, or the genes involved in ceramide production, markedly reduced the spread of colon cancer to the liver in mice.
To determine if YAP1 is also involved in metastasis in humans, the researchers analyzed RNA sequencing data from patients with colorectal cancer. They found that YAP1 was more active in metastatic cancer cells, and that patients with higher body mass index (BMI) showed higher expression of the genes activated by YAP1 than normal-weight patients. Patients with higher levels of those genes also had lower survival rates.
“We don’t think that the YAP1 program is specific to obesity. It’s just that it becomes accentuated in obesity, and that may account for why obesity is known to drive the progression of colorectal cancer,” Yilmaz says.
They now plan to develop drugs that inhibit two of the enzymes involved in ceramide production, DEGS1 and DEGS2, in hopes that such drugs could help prevent colon cancer metastasis.
The researchers caution that the findings do not yet translate into dietary advice for patients who have already been diagnosed, and that any drug targeting ceramide synthesis will have to clear a high bar for selectivity, since these lipids are also essential in healthy tissues.
The research was funded by the National Institutes of Health/National Cancer Institute, the MIT Stem Cell Initiative, a Koch Institute Frontier grant, and the NRW Junior Research Program.
New cell-collection device could improve early cancer detectionMIT researchers developed a handheld system that gently collects living cells from patient samples to aid cancer testing and development of personalized medicines.One of the main reasons that ovarian cancer is among the deadliest forms of cancer is timing: When doctors catch it early, the five-year survival rate can be north of 90 percent. But when doctors catch it late, in stages 3 or 4, five-year survival is less than half that.
About 20 years ago, researchers studying ovarian cancer discovered that many cases of high-grade serous ovarian cancer, the most common type, originate in the fallopian tubes. Detecting the disease there remains challenging, in part because its precursor lesions can be microscopic and difficult to sample.
Now researchers in the group of MIT Professor Kripa Varanasi, working with colleagues at MIT and Johns Hopkins University, have developed a handheld device capable of gently collecting living cells from specific locations to test for ovarian and many other types of cancer. The researchers believe the technique could one day be used to catch cancers earlier and more effectively. It could also be used to create treatments based on individual patient samples.
In a study describing the system in the journal Device, the researchers showed their system enables targeted sampling of newly excised tissue, and they used it to recover living cells for cultivation and testing. The device holds a small microfluidic channel against the tissue and uses a syringe to drive fluid through the channel, applying a force parallel to the tissue surface to gently detach living cells from tiny sections of tissue.
“We wanted to collect living cells from specific regions of the fallopian tube while leaving the surrounding tissue intact,” says Varanasi, senior author of the study and the Maher A. Elmasri Professor of Mechanical Engineering. “Once we have these living cells, there are many things we can do with them. We can use them for diagnostics, grow them into organoids, and build living models of disease. Ultimately, this could allow us to test how an individual patient’s cells respond to different treatments and help us develop more personalized medicines.”
Joining Varanasi on the paper are co-first authors Domitille Avalle SM ’25, MIT postdoc Bert Vandereydt PhD ’26, and Sean Parks ’20, SM ’24. The other authors are MIT PhD candidate Huaiyao Peng; Rebecca Stone, the Johns Hopkins University School of Medicine Stoddard and O’Neil Professor in Gynecologic Oncology; and Angela Belcher, MIT’s James Mason Crafts Professor and a professor of biological engineering and of materials science and engineering.
Living cells for ovarian cancer research
The discovery that many high-grade serous ovarian cancers originate in the fallopian tubes has opened up new prevention options for women at increased risk, who can have their fallopian tubes removed after childbearing years, largely preserving normal hormone production.
Stone, a gynecologic oncologist at Johns Hopkins University, has long advocated for this procedure for certain women at increased risk of ovarian cancer. Belcher introduced Stone to Varanasi, and the three, together with other collaborators, received funding from Break Through Cancer, a foundation that brings together interdisciplinary teams to tackle some of the most challenging problems in cancer. Their project focuses on developing new approaches for the early detection of ovarian cancer, with the cell-collection technology forming one part of that broader effort.
The researchers began by asking whether they could collect living cells from specific regions of removed fallopian tubes to study the disease’s earliest stages.
"The idea was to see if we could find early signals from precancerous regions of concern,” Varanasi recalls.
The process traditionally involves placing surgically removed fallopian tubes in a chemical preservative and cutting the tissue into sections. The preservative maintains tissue structure, but the cells are no longer alive and cannot be grown in culture. A pathologist then looks for cancerous or precancerous regions in thin sections of the tissue under a microscope.
“It’s very time-consuming and destructive to the cells,” Varanasi says. “We wanted to bring new capabilities to pathology, so we can not only see what these cells look like, but also collect them alive and study how they behave.”
The MIT researchers saw the process firsthand while visiting surgeons in the operating room at Johns Hopkins.
“It inspired us,” Varanasi says. “We do a lot of work on fluid-surface interfaces in my lab, and we realized we could use a fluid instead of a scalpel or brush, because when you flow a fluid it applies shear stress at the interface. We thought it could work because we heard from surgeons that cells in some locations were loose and would come off during routine washing and other procedures.”
“This is exactly the kind of problem that benefits from bringing clinicians and engineers together,” Stone says. “We understand the clinical need, while the MIT team brings a very different perspective from fluid mechanics and engineering. That combination allowed us to approach the problem in a new way.”
The researchers’ new approach uses a 3D-printed microfluidic device that forms a vacuum seal with the tissue. The device confines liquid flow to a small region, where the flowing liquid creates shear stress that gently detaches living cells.
“We came up with this device where one syringe creates a vacuum that holds it against the tissue, and a second syringe pushes liquid through it,” Vandereydt says. “The vacuum creates a seal, so nothing leaks, and then we locally apply what is basically a microfluidic chip on the tissue that gently shears the cells off.”
The researchers showed they could tune the shear stress applied to the tissue and compared their approach to other cell collection workflows. They found the cells collected using their technique remained viable and grew in culture much more readily than cells detached using conventional approaches.
Finally, the researchers tested their device on fresh human fallopian tube samples, which required them to be on call for sample shipments from their collaborators at Johns Hopkins. After experiments, the samples were shipped back for conventional pathology.
“The samples could come at any time. Sometimes, we’d get an email from our collaborators at 11 p.m. saying ‘There are two fallopian tubes coming tomorrow,’” Vandereydt says. “We were able to collect living cells from those fallopian tubes and turn those into organoids, which is important for testing, disease modeling, and eventually developing personalized treatments.”
“We are developing optical approaches to identify suspicious regions of tissue, and this technology could allow us to collect living cells from exactly those locations,” Belcher says. “Being able to first see where the disease may be emerging and then collect those cells for further study could be very powerful.”
From device to diagnostic
The researchers tested the device on different types of cells and found the approach can be tuned to collect cells of all types by applying different levels of shear stress.
“It’s agnostic to the disease,” Vandereydt says. “There are very loosely adherent prostate cancer cells that detach at 1 pascal [of stress], but if you look at bone cancer cells, only a few cells detach under as high as 5 pascals of stress.”
The researchers plan for the early use of their device to involve tissue that has already been removed from the body, as that offers an easier pathway to regulatory approval. But they would also like to see their device used to swab samples inside of patients for easier testing and earlier cancer detection.
“What is exciting about this technology is the ability to collect living cells from a specific area while preserving the tissue for pathology,” Stone says. “In the future, one could imagine integrating it into routine histopathology workflows, creating a powerful new way to study carcinogenesis and fundamental biology directly from human tissue.”
Varanasi credits Break Through Cancer for enabling the project.
“Break Through Cancer brought together people working on not only ovarian cancer but also on pancreatic cancer, brain cancer, leukemia, and other cancers,” Varanasi says. “What we heard again and again is how valuable it would be to have better ways to obtain living cells from specific regions of tissue.”
The researchers hope that by making it possible to collect living cells from precise locations without removing or destroying the surrounding tissue, their approach could eventually help researchers and clinicians identify disease earlier and better understand how it develops.
“If this work can ultimately help women by enabling earlier detection of ovarian cancer, I would find that incredibly fulfilling,” Varanasi says. “That is really what motivates us — taking the science and engineering we develop in the lab and using it to make a difference in people’s lives.”
The work was supported by the Break Through Cancer Foundation.
The promise and peril of using visual AI to study citiesIn their new book, “How AI Sees the City,” the leaders of MIT’s Senseable City Lab examine the technology’s implications for researching urban life.A few months ago, researchers from the MIT Senseable City Lab published a study about pollution in New York City featuring some new methods. For instance: With machine learning, they identified the types of vehicles appearing in 331 traffic cameras in the city, and estimated the emissions coming from each automobile. Given enough cameras, these visual artificial intelligence techniques could monitor emissions with an unprecedented combination of precision and scale.
For that matter, visual AI today can address all kinds of questions for urban planners. Why exactly is traffic snarling? What are the most dangerous aspects of different intersections? Which parts of plazas or parks attract the most people?
Across cities, more images means more data, more insight — and more concerns about privacy and fairness.
“We can treat these digital images as data and quantify features of the city,” says Fábio Duarte, an MIT researcher and co-author of a new book about visual AI and urban studies. “With computer vision techniques, each image is a dataset.” Still, he adds, “We have to be careful about it.”
And while urbanists have long used visual analysis to inform their thinking, now it’s possible to an unprecedented extent.
“Everybody has been observing the urban environment and trying to get some insight,” says Martina Mazzarello, an MIT scholar and a co-author of the new book. “But what if we can do that at a large scale and get some insight everywhere?”
The scholars explore these topics in “How AI Sees the City: Urban Visual Intelligence,” published this month by Routledge. The authors are Duarte, a principal research scientist and associate director of the MIT Senseable City Lab; Mazzarello, a research scientist and lead of MIT Senseable City Lab global initiatives; Carlo Ratti, a professor of the practice and founder and director of the MIT Senseable City Lab; and Fan Zhang, an assistant professor at the Institute of Remote Sensing and GIS at Peking University.
“Great urbanists such as Kevin Lynch and Willian H. Whyte showed us the extraordinary value of ‘looking’ at the city,” Ratti says, referring to two prominent thinkers about city dynamics whose work is described in the book. “Today, visual AI gives us new ways to build on that tradition — allowing us to observe cities at a scale and with a level of detail that was previously impossible.”
New tool, long tradition
“How AI Sees the City” stems from the work of the MIT Senseable City Lab, founded in 2004, which uses data to better understand urban dynamics. As the authors discuss in the book, there is a long history of visual representations that shape the way we think about cities, from Romans building marble maps to the introduction of photography — which produced influential urban images about things like Hausmann’s reshaping of Paris or the crowding of tenements in New York City’s Lower East Side during the 19th century.
More recently, some scholars have used visual studies to better understand city form, including Lynch, a former MIT professor whose 1960 book, “The Image of the City,” influenced many scholars. Whyte, a sociologist famous for his book “The Organization Man,” then became an urbanist closely examining public spaces.
By explicitly placing AI in a continuum with these visual urban studies, the authors are making a point: Powerful as it might be, we can still think of AI primarily as a tool serving human purposes, as we seek to design and refine urban form.
“Kevin Lynch at MIT was only using paper and pen,” Duarte says. “We can now scale up what he was doing, with visual AI, while also looking at many different dimension of cities.”
There are extensive possibilities for applying visual AI to urban planning, ranging from emissions to traffic flow, safety, better imagery of street-level activity and sidewalks, and much more. The book also examines, for instance, urban greenery. While satellite imagery can show us how much tree cover and green spaces cities have, near-ubiquitous images from phones and other sources can also reveal to what extent people glimpse greenery in everyday life, a factor in reported wellness.
“The real promise of visual AI is not simply that computers can look at millions of images,” Zhang says. “It is that we can connect what is visible in those images — streets, buildings, greenery, traffic, public space — with larger questions about how cities function and how people experience them.”
Better image recognition by AI even extends to urban interiors. By using images from 400,000 AirBnB listings across the world, one recent Senseable City study shows that, contrary to some claims, interior design styles are not becoming globally more homogeneous, but reflect significant geographic differences.
“No matter what it is, we can learn from what we can see and then use it as urban designers, planners, policymakers, and citizens,” Mazzarello says. “It can be our eyes, or cameras with computers, but in the end it’s the same methodology, and now we are trying to optimize the ways we can use these tools.”
Promise and pitfalls
If the promise of visual AI for urban studies is vast, the pitfalls are concerning. In “How AI Sees the City,” the authors outline multiple potential problems with the technology, including the intrusiveness of widespread visual surveillance and the potential for bias being reinforced through AI systems.
The installation of ubiquitous cameras can quickly raise concerns about surveillance. London, an early adopter of CCTV, has about 210 cameras per square mile. But eight of the world’s 10 most camera-heavy cities are in China; Shanghai has over 5,000 cameras per square mile. Such surveillance practices have raised controversy in other parts of the world, with debate over the uses of traffic cameras bubbling up in the U.S. this year as well.
In evaluating the potential safety gains from intensive video recording, the authors write, “the benefits must be weighed against the significant erosion of personal freedom and the potential for abuse inherent in a system of constant monitoring.”
Meanwhile, AI systems can reinforce social biases as well, leading to the production of data that reinforce prior perceptions as much as underlying realities — about people, neighborhoods, and whole cities. If AI models are trained on majority population groups, they may not evaluate minority groups the same way.
“We need to teach AI to see, and depending on how you teach it, it will see what what is embedded in the culture,” Duarte says. “AI is not neutral.”
Still, as Mazzarello adds, “our eyes are not neutral, either. Every tool has to be guided in the right way, and trained in the best way.”
Other scholars have praised “How AI Sees the City.” Michael Batty of University College London has called it a “fascinating book” that “shows how we are beginning to interpret the world of urban design, suggesting ways in which we might improve design using urban analytics, AI and large language models.”
Ultimately, though the authors think there is great value in deploying visual AI to learn more about our cities, how they function, and how they might be improved. With caution and independent thinking, progress is possible. Or, as they conclude in the book, “We should explore this wisely, critically, and creatively.”
MIT welcomes David Siegel SM ’86, PhD ’91 as its next Innovation FellowComputer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.David Siegel SM ’86, PhD ’91, a computer scientist, entrepreneur, and philanthropist, will serve as the next MIT Innovation Fellow during the 2026-27 academic year. Working with the MIT Schwarzman College of Computing, Siegel will explore how artificial intelligence can accelerate scientific discovery at the Institute and beyond.
“From the MIT Schwarzman College of Computing to the MIT Siegel Family Quest for Intelligence, David has been a superb thought partner for me and other Institute leaders on a range of very significant initiatives, so we're delighted to have him join us now as an MIT Innovation Fellow,” says MIT President Sally Kornbluth. “Our community has long benefited from David's exceptional technical insight, entrepreneurial experience, instinct for connecting people, and infectious love for MIT. We look forward to working with him now as he helps us identify new opportunities at the intersection of AI and scientific discovery.”
“MIT has played a foundational role in shaping how I view technology’s potential to address complex challenges,” says Siegel. “I’m thrilled to return to campus as an Innovation Fellow to collaborate with brilliant students, researchers, and faculty at a pivotal juncture in how technology shapes our world.”
A long-standing connection to MIT
Siegel’s relationship with MIT began during his graduate studies, where he earned a master’s degree in 1986 and PhD in 1991, after earning his bachelor’s degree in electrical engineering and computer science from Princeton University in 1983. Immersed in the field during a foundational era for computer science, he worked at the MIT Artificial Intelligence Lab (now the Computer Science and Artificial Intelligence Laboratory) in Professor Tomás Lozano-Pérez’s research group on human-machine interaction, contributing to the development of a pioneering humanlike robotic hand.
Siegel has remained deeply involved with the Institute in the years since. He is a life member of the MIT Corporation, previously served on its Executive Committee, and co-chairs the External Advisory Committee for the MIT Schwarzman College of Computing. Additionally, Siegel was an early champion of the MIT Quest for Intelligence, an Institute-wide initiative studying intelligence in brains and machines, recently renamed the MIT Siegel Family Quest for Intelligence.
Entrepreneurship, philanthropy, and AI leadership
After completing his PhD, Siegel founded several early internet ventures before co-founding Two Sigma in 2001. A leading global investment firm, Two Sigma approaches investing through a data science and engineering lens, echoing Siegel’s experience in the MIT AI Lab. With the scientific method embedded in its culture, the firm uses artificial intelligence, machine learning, and advanced quantitative modeling. Siegel retired from day-to-day management of Two Sigma in 2024; however, he remains co-chair.
Currently, Siegel’s work spans several fields, with a strong emphasis on science, technology, and philanthropy. Through the Siegel Family Endowment, a philanthropic foundation that he established in 2011, Siegel supports leaders, researchers, and organizations that are examining how technological change affects society and how to guide that shift for the public good. The endowment backs organizations such as the Scratch Foundation, Center on Rural Innovation, Khan Academy, Pursuit, and The Aspen Institute.
Recognizing the critical resource gap between academic research labs and frontier AI, Siegel founded the nonprofit Open Athena in 2024. Open Athena equips academic research labs with elite AI talent, data engineering expertise, and computational resources to enable groundbreaking discoveries at scale. The organization is also developing Marin, a 535-billion-parameter foundation model built entirely in public. By sharing every dataset and experiment in real-time, Marin ensures that the science of frontier AI remains a shared public asset for researchers and innovators worldwide. Open Athena works with leading global institutions including MIT and is funded by philanthropic partners including Bloomberg Philanthropies, Google, The Huang Foundation, and Schmidt Sciences.
Siegel actively serves on several governance and advisory boards. He is vice-chair of the Scratch Foundation, which he co-founded in 2013 with MIT Professor Mitch Resnick, a member of the Cornell Tech Council, and a board member of organizations such as Re:Build Manufacturing, Khan Academy, and NYC FIRST Robotics. In 2025, Siegel was appointed to the U.S. Department of Energy’s Office of Science Advisory Committee, providing counsel on complex scientific and technical issues impacting federal scientific research programs.
Outside of philanthropy, Siegel remains actively engaged in the global AI ecosystem as an investor, hands-on advisor, and thought leader. Through his family office Shinrai Management, he focuses on supporting entrepreneurs and investing in high-growth startups, including several founded by MIT students and alumni.
Siegel’s debut book, “When Machines Act: The Promise and Peril of Navigating Our Agentic AI Future,” co-authored with Yale University’s Jeffrey Sonnenfeld and Stephen Henriques, will be published by MIT Press next March, coinciding with his residency as an MIT Innovation Fellow. Drawing on interviews with top tech leaders and off-the-record discussions with over 300 CEOs, the book provides a practical roadmap for autonomous AI, outlining where to deploy it, how to govern it, and which rules truly matter.
“David’s ties to MIT date back to his doctoral research in the AI Lab and have deepened through his many contributions to the Institute, including his significant involvement with the Quest for Intelligence and the MIT Schwarzman College of Computing,” says MIT Provost Anantha Chandrakasan. “His long-standing commitment to MIT, together with his vision for the future of AI and science, makes him an especially fitting Innovation Fellow. We look forward to the contributions he will make and the connections his work will foster across campus."
“For the MIT Schwarzman College of Computing, David’s fellowship is a chance to build on an already strong connection and explore how AI can expand the frontiers of science. Having known David since we were both graduate students at MIT, I’m deeply familiar with his ability to advance AI and its application in various fields,” says Dan Huttenlocher, dean of the MIT Schwarzman College of Computing and the Panasonic Professor of Electrical Engineering and Computer Science. “He understands both the college’s aspirations and the challenges ahead, and his perspective will help us identify concrete paths for research, education, and broader engagement. I look forward to working with him over the coming year.”
A year in residence
MIT Innovation Fellows typically spend a year or more in residence at the Institute. They draw on their experience, expertise, and professional networks to engage with faculty and students, participate in public events, and provide strategic counsel to MIT leaders.
The program has brought luminaries from industry and government to MIT. Most recently, Brian Deese, former White House National Economic Council director, served as an Innovation Fellow. Other fellows have included Virginia M. “Ginny” Rometty, former chair, president, and CEO of IBM; Eric Schmidt, former executive chair of Google’s parent company, Alphabet; the late Ash Carter, former U.S. secretary of defense; and former Massachusetts Governor Deval Patrick.
As an Innovation Fellow, Siegel will help guide the Institute’s focus on leveraging artificial intelligence to support scientific discovery, working closely with the MIT Schwarzman College of Computing and departments across the college to help extend their impact beyond MIT.
“Using AI to accelerate scientific discovery is the ultimate engineering challenge. There is simply no better launchpad in the world for that work than MIT,” says Siegel.
FUNdaMENTALs of precision designPrecision, repeatability, and fun are the focus in mechanical engineering course 2.70 (Fundamentals of Precision Product Design).Repeatability in engineering product design ensures that a manufacturing process performs the same way every time and allows for a working prototype to be transformed into a reliable, safe, consistent, and cost-effective mass-market product. For students in class 2.70 (Fundamentals of Precision Product Design), precision and repeatability are the name of the game.
“[As an engineer], you have an extra responsibility to overlook nothing,” says course instructor Alex Slocum, the Walter M. and A. Hazel May Professor of Mechanical Engineering. “If you miss something, someone could be hurt or die.”
Slocum’s message is serious, but his approach to teaching the material is famously fun — in fact, he prefers the spelling “FUNdaMENTALs” for the first word of the class name. His mother, Mariana Polonsky Slocum, was a mathematics student at MIT. “She taught me, physics doesn't care about your feelings,” he says. “I want [students] to understand that we are governed by the laws of physics, and that is a catalyst for creativity, not a hindrance. It is a hindrance if you forget that.”
Through the course, students learn deterministic design, selection, and assembly of machine elements to create and manufacture robust precision machines, instruments, and systems. They also apply Slocum’s “Functional Requirements, Ergonomics and Environment, Design Parameters, Analysis, References, Risks, Countermeasures” (FRED PARRC, pronounced like “Fred Park”) model, and engage in peer review and evaluation.
“You get a lot of time working on problems that just pop up in engineering. To me, it felt very [representative] of the grad work that I was doing,” says Mariia Smyk, a graduate student in mechanical engineering.
Some students may describe the course as “creative chaos,” but tend to agree that their learning experience is one that drives home the fundamentals.
“It definitely made me more confident knowing that I can look at what I'm designing and be very deliberate in taking steps toward mitigating the risks that anyone would face when they use a product,” says graduate student Adian Salazar. “I feel like I've been able to apply all those really fundamental concepts that I learned in the more theory-heavy classes to real-world machines.”
How the brain keeps its options straight at decision timeMaking a decision requires juggling a set of options without getting them confused or losing track of them. A new MIT study shows how neurons encode information to maximize clarity throughout the process.A new study by neuroscientists in The Picower Institute for Learning and Memory at MIT shows how the brain encodes information throughout the decision-making process to keep options clearly in mind and to ensure that chosen and unchosen options are remembered.
The key, the researchers show in the journal iScience, is that the brain convenes ensembles to produce coordinated patterns of electrical activity that distinctly represent and sort options, both during consideration and after choice.
“It keeps different neural ensembles, different thoughts, distinct from one another, preventing interference between them,” says senior author Earl K. Miller, Picower Professor in MIT’s Department of Brain and Cognitive Sciences.
Lead author Huidi Li, a graduate student in Miller’s lab, says the study results show how the brain responds dynamically to meet the challenge of decision-making.
“The brain doesn’t just hold information statically,” Li says. “Throughout the decision process, the brain flexibly reorganizes information representation to meet the changing task demands.”
Decisions decoded
To conduct the study, Li, Miller, and their team trained two animals to play a game in which they had to look in the direction of one of two indicated targets on a screen, based on which target was assigned the higher reward value. Importantly, the two options were presented and their values were assigned in sequence — first one target, then its value, then the other target and then its value. That way, the brain had to juggle multiple representations for each target — for instance, the order of presentation before the decision, and then chosen-or-not after the decision. Meanwhile, each time the animals played the game, researchers measured the electrical activity of hundreds of neurons in the lateral prefrontal cortex, a surface brain region known for having a key role in linking options, values, and actions in decision-making.
Using “declassifier” algorithms to decode the electrical patterns, the researchers found that the neurons acted in functional ensembles whose collective activity clearly indicated decision-related information, including the distinct target directions and their assigned values. To interpret and compare each ensemble’s patterns, the researchers visualized these “subspaces” geometrically as planes on a 3D graph.
The researchers’ key finding was that before the values were assigned and a decision was made, the neural ensemble patterns consistently represented options based on their order of presentation. For example, on the graphs each “target 1” plane was nicely parallel with the others. Similarly, each “target 2” plane was parallel with its brethren, but the target 2s were more orthogonal, or more perpendicular, with the target 1s, showing that they were represented as entirely distinct from each other.
Then, after the decision, new ensembles provided new representations. Now the “chosen” options, whether they had been presented first or second, had parallel representations. The unchosen targets were also represented as parallel with each other, but as orthogonal from the chosen ones.
Getting one’s neural ducks in a row
In other words, before the decision, the brain convened ensembles of neurons to distinguish targets by their presentation order, and then after the decisions, gathered ensembles to sort them by whether they were chosen or not. This consistent way of representing chosen options, Li and Miller wrote, could aid decision-making by essentially packaging it for downstream circuits responsible for converting the decision into action (in this case, directing the animal’s gaze in the chosen target direction).
“The observed alignment of chosen target representations could allow downstream areas to read out the location of the chosen target with a single decoder, regardless of its initial presentation order,” the authors wrote.
Notably, the researchers also found that round by round of the game, individual neurons could often be recruited in to different ensembles. A neuron that in one round seemed “selective” for option 2 could end up being selective for option 1 the next. The ensembles were therefore not permanent circuits of specialized neurons, but instead were assembled ad hoc among multifunctional neurons.
In other research, Miller has found that the brain uses brain waves to rapidly and flexibly accomplish this goal of ensemble recruitment.
Another clear implication of the data, Miller says, is that the brain maintained distinct memories of each option, whether it was chosen or not. This could be important for assigning credit down the line to facilitate learning. For instance, remembering that choosing target 2 in round 3 earned a reward.
“Our results illustrate the dynamic subspace reorganization supporting option maintenance and selection in economic decisions,” the authors wrote.
In addition to Li and Miller, the paper’s other authors are Nikolaos Chrysanthidis, Scott Brincat, and Jonas Rose.
The U.S. Office of Naval Research, the U.S. Army Research Office, the Freedom Together Foundation, and the National Institutes of Health provided support for the research.
Poitras Center to fuel early careers of 50 young scientists dedicated to psychiatric disorders researchPatricia and James Poitras ’63 provide fellowships for graduate students and postdocs who will shape the future of mental health research.Patricia and James Poitras ’63, longtime MIT supporters, have launched a fellowship program for graduate students and postdocs studying major mental illness, expanding their MIT philanthropy to directly support early-career scientists. The commitment establishes 50 two-year fellowships through the Poitras Center for Psychiatric Disorders Research at MIT’s McGovern Institute for Brain Research. Five fellowships will be awarded every year for the next decade, creating a long-term talent pipeline focused specifically on psychiatric disorders.
The $10 million gift is the latest in a series of philanthropic investments from the Poitras family to strengthen MIT’s capacity to address the growing burden of severe depression and anxiety, bipolar disorder, schizophrenia, and other complex psychiatric conditions. “Pat and Jim have remained steadfast in their decades-long commitment to bold research that can transform mental wellness,” says Robert Desimone, director of the McGovern Institute and head of the Poitras Center. “Their remarkable support of rising talent in the MIT ecosystem is yet another emblem of their commitment to that cause.”
A philanthropic legacy
Many recent mental health discoveries emerging from MIT — from molecular tools that can rewrite DNA to artificial intelligence-powered technologies that can calculate a person’s risk for developing mental illness — were hard to imagine two decades ago. Yet, Patricia and James Poitras envisioned a future where enigmatic mental health conditions could be solved. They understood this future would require not just research, but a fundamental reimagining of how psychiatric research itself is conducted.
In 2007, inspired by meetings with leadership at the McGovern Institute, the Poitras Family gifted $20 million to launch the Poitras Center. By bridging the fields of basic neuroscience, clinical psychiatry, and molecular biology, the center sought to establish a unified blueprint for understanding how psychiatric disorders hijack the mind at every level, from molecular mechanisms to whole brain systems, and guide the creation of novel therapies to better treat them.
Since the center’s establishment, additional investments by the Poitras family have supported research ranging from genome engineering to cognitive neuroscience. These investments have empowered scientists across disciplines to pursue innovative research questions, including how ketamine acts on synaptic communication and why schizophrenia distorts inner speech and reasoning. These efforts have ushered in major breakthroughs in mental health: an AI-powered calculator for predicting bipolar disorder risk in adolescents, molecular carriers that precisely deliver therapies throughout the body, and strategies that use patients’ brain activity patterns to match them with optimal treatments, among other advances.
Expanding support for early career scientists
The Poitras family’s latest gift invests directly in the PhD students and postdocs who will carry the field of psychiatric research forward. It comes at a time when federal funding has grown especially precarious. “To make the greatest impact on the world’s mental health, we recognize that we must not only support transformational research, but also the young people driving its progress,” says James Poitras, who is also chair of the McGovern Institute’s board.
Five McGovern Institute researchers have been selected as the inaugural cohort of Poitras Center Fellows and Graduate Scholars. Their projects span multiple areas in brain research and could reveal a suite of new ways to heal the mind.
The new gift extends the Poitras family’s support of mental health research at MIT to over $100 million. It also marks another step toward a bold vision years in the making.
“Serious brain disorders profoundly affect patients, families, and caregivers,” says Patricia Poitras. “We believe that investing in the next generation of researchers will accelerate powerful discoveries that lead to life-changing treatments and better future for countless patients and families.”
The next application window for Poitras Center fellowships will open in May 2027.
MIT named the nation’s top university by U.S. News for 2026-27The Institute’s undergraduate engineering, computer science, and economics programs are No. 1; its business program is No. 2.U.S. News and World Report has designated MIT as the top school in its annual rankings of the nation’s best universities, announced today.
Among the academic specialties that U.S. News evaluates, MIT’s engineering program continues to lead the rankings of undergraduate engineering programs at a doctoral institution. The Institute’s undergraduate computer science and economics programs also ranked No. 1, and its undergraduate business program ranked No. 2.
U.S. News ranked MIT highly in several other categories: The Institute is No. 1 for undergraduate research and creative projects, No. 2 on the list of most innovative schools, and No. 3 on the list of best value schools.
MIT placed first in five engineering specialties: aerospace/aeronautical/astronautical engineering; chemical engineering; electrical/electronic/communication engineering; materials engineering; and mechanical engineering. It placed second in computer engineering.
Other schools in the top five overall for undergraduate engineering programs are Georgia Tech, Stanford University, the University of California at Berkeley, and Caltech.
In computer science, MIT placed first in three specialties: biocomputing/bioinformatics/biotechnology (tied with Carnegie Mellon University); computer systems (tied with Carnegie Mellon); and theory. It placed second in three other disciplines: artificial intelligence, data analytics/science; and programming languages.
Other schools in the top five overall for undergraduate computer science programs are Carnegie Mellon and Stanford (both tied with MIT at No. 1), as well as UC Berkeley, Georgia Tech, Princeton University, and the University of Illinois at Urbana-Champaign.
In economics, MIT placed first in four specialties: development economics; econometrics; industrial organization (tied with Northwestern University); and microeconomics. It placed second in macroeconomics (tied with UC Berkeley).
Other schools in the top five overall for undergraduate economics programs are Harvard University, Princeton, and University of Chicago (all tied with MIT at No. 1), as well as Stanford, UC Berkeley, and Yale University.
Among undergraduate business specialties, the MIT Sloan School of Management led in three categories: analytics; production/operations management; and quantitative analysis. It placed second in entrepreneurship.
Other undergraduate business programs ranking in the top five include the University of Pennsylvania, UC Berkeley, New York University, and the University of Michigan at Ann Arbor.
Podcast: SHASS’s special sauceEstablished after World War II, the School of the Humanities, Arts, and Social Sciences is an integral part of the MIT experience. Three faculty reflect on the school’s ongoing impact.Following World War II, the MIT faculty convened a committee to assess the Institute’s principles of education and their relevance “in a new era emerging from social upheaval and the disasters of war.” One of the outcomes of this pivotal report was the establishment of the School of Humanities, Arts, and Social Sciences (SHASS). MIT News convened a discussion with three SHASS faculty — David Kaiser, Heather Paxson, and Jonathan Gruber — about what makes the school special and why it’s a core part of the MIT experience. Listen to the conversation or read the transcript below.
Peter Dizikes: Welcome to MIT, everybody. My name is Peter Dizikes and I’m a writer for MIT News. Every year, over 1,000 undergraduates enroll at MIT. Once they’re here, they’ll spend at least a quarter of their time studying a set of core subjects such as music and theater arts, history, anthropology, and economics, linguistics and philosophy, literature, political science. These are all offered within MIT’s School of Humanities, Arts, and Social Sciences, known on campus as SHASS and a core piece of the university.
MIT is 165 years old. This month, SHASS turns 75 and is celebrating its anniversary with a two-day conference, September 24th and 25th. For this MIT News Roundtable, we’re delighted to have three distinguished faculty members from SHASS with us, historian and physicist David Kaiser, anthropologist Heather Paxson, and economist Jonathan Gruber, who are all here to talk about what makes SHASS a special place. Thank you all for joining us.
David Kaiser: Thanks for having us.
Peter Dizikes: If it’s all right, I’d like to just jump in and start by asking each of you a different question about SHASS. Perhaps we could start with you, David. David Kaiser, for our audience, is the Germeshausen Professor of the History of Science and Professor of Physics at MIT. He’s written numerous books about the history of physics and done scientific research focused on inflationary cosmology, the very rapid, very early expansion of our universe. He’s also edited a volume about the history of MIT and is, I think, the lead organizer of the SHASS 75 Conference.
David Kaiser: It has taken a village, but I’ve been lucky to work with a whole group.
Peter Dizikes: Very good. Well, on that note, the note being MIT history, right after World War II, MIT decided that it wanted to form SHASS. Why was that and how has that worked out for us?
David Kaiser: That’s right. So they didn’t decide very rapidly. And again, as people might know, there were some departments that we would now associate with SHASS that preexisted this. Economics, for example, had been taught at MIT as its own department from well before then. But there was this famous — famous for us, famous on campus — something called the “Lewis Report,” which you’ll hear about over and over again this year, I’m sure. And it was actually, I think, a three-year effort. So the group was put together very soon after the end of the second World War, starting in 1946, very soon. And they got together and studied almost everything you can imagine about life and the future at MIT. I mean, like parking lots and how far do the faculty commute, which is on my mind, as well as things like the undergraduate curriculum, dormitories, really every aspect, intellectual, residential, social, and beyond. It’s a really remarkable report and it’s easy to download from the web. It’s really worth reading even, I think, to this day.
But as you rightly know, when they completed the report in 1949, among their most significant recommendations was that MIT should not just have a few departments in humanities and social sciences, but have a concerted effort in what we would now call SHASS. Originally, it was the School of Humanities and Social Sciences. And of course, about 25 or so years ago, 50 years since the founding, we also very proudly added arts to our name.
So the point is the Lewis Committee said, in essence, there are so many striking, dramatic, literally world-changing developments that we can associate with what we might now call STEM, or science and technology, and they had in mind things like the Manhattan Project and nuclear weapons, which had been used to such dramatic effect just not long before they wrote the report. And they were concerned that changes that could be that rapid and that far-reaching simply require an informed leadership, an informed citizenry, more generally, of people who can try to think critically and carefully and kind of contextually and not only understand neutron diffusion, but also understand the flow of people and ideas and cultures and politics and beyond.
They argued not just that SHASS should be founded, it should be, as they said, “A co-equal school to the existing schools.” The report was very clear: This needs to be as central to MIT’s existence and experience as School of Science, School of Engineering, and of course there are other great schools as well. And it really was, there’s too much at stake, changing too rapidly with too far-ranging implications for our students and our faculty and staff and the broader community not to have the toolkit to think about history, governance, economics, culture, identity, human expression — that these were inescapable parts of being an educated member and a responsible member of the new nuclear age.
Peter Dizikes: Surely we still have enough challenges today that that rationale would hold up, we think?
David Kaiser: I think we’re done! No, we haven’t nailed it. There’s a few more things to worry about. And so I think when I say I return to that Lewis Report, I really do because some parts will seem quaint — what were the concerns in 1949 might not always resonate today — but a lot of the concerns sound actually quite contemporary. And with only a little bit of keyword swapping, I think we’ll get to it, I’m sure, in our discussion, no shortage of topics today that are filling a kind of intellectual role that the disruptions of the second World War had played for that earlier generation.
Peter Dizikes: Right. Thank you. Heather, I’d like to toss a question to you as well. Heather Paxson, for our audience, is the William R. Kenan, Jr. Professor of Anthropology at MIT, a former head of the MIT program in anthropology, and she is currently associate dean for faculty in SHASS. You’ve written multiple books, including “The Life of Cheese,” which I can vouch goes very deep into the American psyche. Heather, given that you are dean and I think have a lot of visibility into what’s going on SHASS-wide, in a sense, could you just say a little bit more for us about the breadth of everything that happens in SHASS?
Heather Paxson: Thank you, Peter. So putting the humanities and the arts and the social sciences together in a school is actually quite unusual among our peer institutions and does make for some really fun collaborations and convenings.
So just to give you a little taste of that breadth, just this week yesterday, our colleagues in political science, Adam Berinsky and Charles Stewart, and research that they’re doing in collaboration with Chara Podimata, who is an operations research specialist in the Sloan School of Management. They are using AI to study AI. They did a huge study or are in the midst of a huge study of looking at how AI chatbots are providing information to citizens about elections that may or may not be biased and tailored to the asker and what the effects that will have on our midterms coming up. So very timely, amazing work. That’s social sciences.
In the arts, yesterday I saw our colleague Jay Scheib, who’s the head of Music and Theater Arts. He’s a stage director and he’s just back from Germany where he’s been staging a production of Wagner in Germany. So, really, just a lot of fun stuff.
Peter Dizikes: It is actually amazing the breadth of people circulating around here. Jon, I have a question for you as well on a slightly different note. So Jon Gruber is Ford Professor of Economics at MIT, a former head of the Department of Economics, he’s published over 200 research papers, I think I can say is one of the most influential figures in the expansion of health care access in the U.S. You’re also the only person here right now who’s been an MIT student. You were an undergrad here. Could you just say a few words about what was significant about your student experience, what you took with you from being a student?
Jonathan Gruber: One thing that’s sort of embarrassing is when I started as undergrad here, I was closer to the Lewis Report than we are today. And the Lewis Report was still, in many ways, being implemented when I was undergraduate. I would say SHASS was much more of a second-class citizen then than it is now. It was sort of embarrassing to say one was a SHASS major without saying a double major, but it was really viewed as a service organization, something kids took so they could get on with their courses that mattered.
I really think that’s changed. I think the MIT student body’s changed from when I was here. We’re a much more well-rounded student body. We’re now competing with these Ivy League institutions that we were very separate from when I was a student, and that wouldn’t be possible without SHASS. But I think what’s important to recognize is MIT is no longer a school that just competes with engineering schools. We’re a school that competes with all universities. And the only way to do that is a well-rounded education. Folks aren’t going to come here if they can’t have a well-rounded education, if it’s just a science education. So SHASS has developed to become so much more integral into the life of MIT. The respect level of SHASS, everything has just really improved.
Peter Dizikes: Were there particular classes or courses that jump out in retrospect?
Jonathan Gruber: Well, I think I’m a great story for SHASS in the sense that I came to MIT as someone who’s good at math, but didn’t like math. I was just good at it, but I wasn’t someone who was doing proofs in my basement. I just didn’t find it appealing. But I came to MIT because it was a math-y school and it was the best school I got into and I was good at math. And then I took 14.01, which is our Intro to Economics class, and I was like, “Oh my God, I can use math for something interesting. I can actually take this math I love to answer questions I really want to answer and on topics I really care about in the real world.” And that was just eye-opening to me. I literally can picture standing at the crosswalk at 77 Mass Ave with my then girlfriend telling her how excited I was. I can picture that moment, what 14.01 had opened up for me. So you can imagine it’s incredibly thrilling for me now to get to teach 14.01 and hopefully inspire some of those students the way that I was inspired.
Peter Dizikes: What’s interesting is many people here have slightly indirect paths to what they ended up doing, right? So you didn’t come here expecting for that to happen, but it happened.
Jonathan Gruber: That’s exactly right. I think one thing that’s very important at part of the university education is to open yourself up to learning new things and heading in new directions. One concern I always have about MIT is that students come here too predetermined to do X. I think that’s almost more of a problem here than other universities. I think that’s why SHASS is so important. Because we want to open their minds to the fact that even if they move from science major X to science major Y, along the way they’re exposed to a range of things that allow them to choose what’s going to give them the most fulfilling future, not just what they thought was interesting in high school.
Peter Dizikes: And when I said at the outset that a quarter of the time they’ll be spending on some of these subjects is this is one of the MIT requirements, is that people need eight classes from SHASS during their four years here. So hopefully they do get that kind of exposure.
Jonathan Gruber: That is why we have that requirement and hopefully they take those classes seriously and are open-eyed and can really… I’ll tell you, Peter, one of the things that distresses me most is the number of juniors and seniors I have taking 14.01 saying, “God, I wish I took this freshman year. I would’ve studied more economics.” Which makes me feel good about my class, but a little disappointed that it’s taken that long to find it.
Heather Paxson: Oh, we thought that was just anthropology! They don’t even know how to find econ?
Jonathan Gruber: Exactly.
Peter Dizikes: Well, stepping back for one second. In daily life, what is special about being at SHASS? Teaching and learning is one of those things, but if you had to cite a couple of things about the qualities and characteristics of being here, the students, your colleagues, what would you say?
Jonathan Gruber: I mean, I would say that what’s special and unique about SHASS at MIT is the fact that we are at MIT and that we are the place that can bring together the science and the social sciences and humanities and arts in a productive way, which is so important right now. The conversation cannot go on without talking about AI, but basically the fundamental central issue in AI right now is how do we think about it ethically? How do we regulate it? And there’s no place better to think about that than MIT, where you’ve got the people developing the frontier AI models next to the people who can help you think about how to regulate and think ethically about those models. And so I think this world is increasingly becoming STEM-based, and I think, as a result, the most productive place to learn about topics from anthropology to history to economics is a place where you’ll learn about that alongside STEM.
Peter Dizikes: Since you mentioned that everything is affected by AI, I’m interested in what everybody’s favorite teaching experiences have been here, but you’re also probably having to be a little bit mindful of how to make sure that everybody is doing their own work and putting in the hard work and the hard thinking that it takes to really get what you want out of MIT. So those are two questions. From pre-AI days, do you have a particular favorite kind of teaching experience? What made it great? And then how are we adapting now?
David Kaiser: One of the courses I really love teaching here, I’ve been teaching it on and off, really, for 20 plus years, is cross-listed in our program in Science, Technology, and Society, my home department, also in Physics, and it counts as another one of these, I think, very important requirements that all the undergraduates must take. It’s a communications-intensive course in the major for the physics major. So they have to learn to write essays and express themselves coherently as part of their physics education, as well as, of course, throughout their SHASS coursework.
And so it’s predominantly students who are, like Jon had been, very interested in math and math-y things and physics and all those things, but they also have to come in there and not just rely on their, frankly, fabulous calculating skills. They have to practice reading stuff that might look a little unfamiliar or unexpected to them and they have to practice really composing coherent arguments about that. And the arguments sometimes are about the intellectual work, what was Einstein’s thinking in 1905 and how do we know and why does it matter?
A lot of it in this class turns to the things like I think were on the minds of those authors of the Lewis Report. What are educated people’s responsibilities under very complicated disruptive times like wartime, like the escalation of fighting of Vietnam? The list is long, just within recent history. What does it mean to take a remarkable education in a variety of fields and do something with that that is consistent with what you think you want to do as a person and as a member of a larger group? And to watch our physics majors wrestle with this creatively, and there’s no single answer that they’re racing toward, I think that’s just incredibly rewarding.
And a lot of them, I hear over and over again from seniors who are about to go to very fancy PhD programs in physics, “I never really paused to think about time dilation until I had write an essay about it. Oh, yeah, there’s kind of a reason for that.” Or, “I never really got my head around quantum theory, I could solve my problem sets, but there’s something really strange happening in the universe and it’s not only captured by these very, very complicated mathematical expressions, so that’s essential too.” So I have this collection of favorite moments of these kinds of “aha” where the eyes light up and the jaw drops at least a little bit and you say, “I didn’t even know that was a thing I didn’t know.” And it’s really fun to see that.
Peter Dizikes: And that comes out of having them write about things.
David Kaiser: It has them reading text, and not only a textbook, and then really having to make their own argument based on their own selection of primary and secondary sources, the way we would teach to do in our other courses.
Peter Dizikes: We like to say that writing is thinking.
David Kaiser: Yeah. They have to clarify and make a case. Yeah.
Peter Dizikes: Heather, do you have?
Heather Paxson: I’ve been teaching here for quite a few years now, but before I got here, I probably taught at five other colleges and universities, so lots of different teaching experience in different sorts of institutions. And for many years I would say, MIT students, it’s just different. It is just so much more fun to teach anthropology with MIT students because they came to class having approached the texts, reading them, not to decide whether they agreed with the text or not, they were needed to be persuaded by the argument, and it really made for a very rich conversation in the classroom.
I think it’s interesting because the moments in the classroom that I can think about or the assignments or the engagements that I can think about are actually things that I think we are all trying to steer more towards today. So the things that I’m doing in class or trying to do in class today, more experience-based projects, more hands-on, are the things that actually, thinking back, I’ve done for a long time and are the most memorable.
So just one example, a class I haven’t taught in a very long time, but a colleague is teaching it now, a class called Art Craft Science, which is really fun to teach here. The assignment was to make mozzarella cheese. So I gave them instructions straight from the box of this mozzarella making kit and the instructions were not very well written. They were predicated on a knowledge of cooking and so forth. That was the point. So they had to go home, I gave them the ingredients, they made cheese, and then they write it up as a lab. I figured they knew how to do that, write it up as a lab. And the discussion of the lab was to reflect on the skills that they relied on to be able to enact these really poorly written instructions. So it was all about tacit knowledge. And so that was the lesson.
And that’s the kind of thing I think we’re all trying to reinvent now in the age of AI, but I’m sure we’ve all been doing it, we just didn’t have as much sense of attention to it. But that is MIT, the “mens et manus” thing. It’s all over our curriculum. It always has been, but now it does have this new, I think, shiny coin value to it. So that’s what’s fun.
Peter Dizikes: Our motto “mens et manus” is “mind and hand,” and I’m sure there is going to have to be a lot of continual reinventing of these kinds of exercises going forward. Do you have?
Jonathan Gruber: I would say there are two things that make me happiest as a teacher. One is when I illustrate the power of economics through counterintuitive lessons, when I can see the kids are like, “Wow, that’s really cool. I didn’t think of it that way till I took this class.” That’s really great. When it just can change the way that they think, they can think about things somewhat differently. And that’s what I hope the kids take from the class. I always say, “I don’t care if you remember certain terms, I just want you to think like an economist.” And when I see that happening, it’s wonderful. But most enjoyable is when they laugh at my jokes. My wife can tell if I’ve had a good lecture day, a bad lecture day, what percent of my jokes they laugh at, which is always below 10%, by the way. But the question is, is it 10% or 1%? And that’s really the most important thing to me.
David Kaiser: Jon, quick question. Does the proportion rise closer to midterms? Are they gaming the system?
Jonathan Gruber: No. No, not at all.
David Kaiser: No time series?
Jonathan Gruber: No time series.
David Kaiser: Just checking. All right, good to know.
Peter Dizikes: You haven’t had anyone come in and really study that empirically, though?
Jonathan Gruber: No, but the best review I ever got, now this was many years before he got famous for a different reason, was that I was viewed as a “well-dressed Pee-wee Herman.”
Peter Dizikes: Students will say if a professor makes them laugh, they’ll take that class when they’re shopping around, right?
Jonathan Gruber: Yeah, hopefully so.
Peter Dizikes: Slightly different kind of question here, which is: How has being at SHASS perhaps influenced your careers? You’re all people who’ve done different things in the same career. Heather, you’ve written about some very different topics. Jon, you’ve been very involved in research and also public policy. And Dave, you’ve had two careers in one as a physicist and a historian. So what is it about this place that maybe encourages you to try different things and follow through with them?
Jonathan Gruber: Well, Dave, you’re the two-in-one. You should start.
David Kaiser: Oh, okay. It’s buy one, get one free, I think. So one example comes to mind, Peter. I think many will eventually. But a number of years ago I wrote a book as an historian that I just loved immersing myself in all the things historians do, finding dusty old papers and interviewing people around. And it was called “How the Hippies Saved Physics.” It was a kind of an obnoxious title or funny title. And it was really who cared about certain obscure sounding questions in quantum physics before the whole field knew we had to care about them. It was really, I think, to me, at least an engaging and fun story about people on the margins who made contributions there.
Where I’m going with this is because I’m here and very lucky to live in more than one department and interact with all kinds of folks, one of the extremely gifted postdocs in physics who had just come to MIT to work with me on the physics side, read the book on a lark because it had a funny cover, I think is why he probably picked it up. And the upshot is that got us thinking more about our own physics projects because the historical study said, “Oh, I never thought that’s where these ideas came from, and I see what they did then and we’ve learned a lot more about these things in the interim. Let’s try this something new.” So we put a little group together and that became a five-year, really, adventure for me on the physics side that grew entirely, at least for me, from the fact that I’d spent several years writing this kind of deep-dive historical study.
The ability to have one lead to the other, to have these conversations happening close in time and close on campus to each other, I mean, that’s extraordinary and I’m very lucky, and I don’t know that I would have that at many other places where I could have been or where our friends are. So I think that the boundaries are not actually that high between our various parts of campus. They can feel high at times, but there really is the kind of cross-campus traffic, and we’re trying to get more of that going with recent initiatives. I think we really can just bring questions together without saying, “Oh, but you’re in that department, I’m in this department.”
Peter Dizikes: Having read “How the Hippies Saved Physics,” which came out in 2011, I would say you were writing about figures who, even at the time, were semi-overlooked, but since then have gone on to win major awards, and in a way the whole area of study there has been elevated.
David Kaiser: Well, that’s right. One of what I like to call “my hippies,” shared the Nobel Prize in physics in 2022. And in fact, one of the colleagues that I got to do the physics work as a follow-on with shared that same Nobel Prize, I think it’s, frankly, because he began working with me. Anton hasn’t gone on record, but I think the record speaks for itself. Anyway, the point is it’s now sort of extraordinarily exciting work that came from just 50+ years earlier from really being on the margin and being denigrated. And that kind of arc in the span of a single human lifetime or a career is really rapid change. Anyway, to be able to sit and watch that from many facets, it was a great adventure.
Peter Dizikes: And that joke landed, so you’re batting over 10% in this.
David Kaiser: I mean, look, I’m not keeping score, Peter, but I know where it’s going to be at the end.
Jonathan Gruber: I would say two things. So one is, going back to my undergrad days, I think many students here are head down, do the work, don’t necessarily engage with a lot of what’s going on in the world. I had a political science professor named Louis Menand who changed my life, who made me engage. He’d worked in the great society. He really was very opinionated, but in a way that he could defend it. It really opened my eyes and he began by getting involved in working on policy at MIT. So I was the first student representative to the committee on the undergraduate program when Margaret MacVicar set it up in 1985. I was the first student representative. And then it grew into my interest in just policy in general, so that was very exciting for me.
And then the other thing was the way I’ve been involved in policy is a particularly MIT way, which is that I’m the numbers guy when health care policy gets made. I develop computer models and mathematical models to help folks understand how their policies will affect people. But those models themselves don’t do any good unless we can explain what they’re doing in clear terms. So it’s really that crosswalk of why it’s great to be at MIT, which is I have the math skills to do it and I have the incredible students to help me, I mean, the work in this area has been helped by so many amazing students, but to have the SHASS skills and the communication skills to be able to explain what I’m doing and why it’s important, that is really kind of where SHASS is perfect for me.
Peter Dizikes: And also noteworthy that you had such an influential class that was not in econ, as important as you found those to be, but this is a political science class as well that helped feed into it.
Jonathan Gruber: Exactly.
Peter Dizikes: Heather, on maybe a slightly different note, how do you keep this healthy, productive culture going in all these different departments? We have this famous culture in the Department of Economics and in many other departments throughout SHASS where there’s this culture of openness to inquiry and elevating interest in students, but how does one, over 75 years, keep that going?
Heather Paxson: Well, thanks for asking the anthropologist about culture. I think we often think of culture in terms of ideas and values, a shared set of ideas and values, but my one word answer to that is actually “participation.” I love that, Jon, you were a student rep on an institute committee. I mean, it’s that kind of participation in the workings of our organizations and the workings of our departments, of our deciding what gets included in the curriculum, that participation is what creates a sense of belonging and certainly is the stuff of culture.
Peter Dizikes: So the things we study over 75 years are going to evolve and change, the things we believe are going to evolve and change.
Heather Paxson: So like an institution’s culture is what mediates between what changes and what stays constant.
Peter Dizikes: Do you find that to be broadly the case here?
Jonathan Gruber: That’s a great quote. I will be using that.
Peter Dizikes: Also, you’re now batting 100% on jokes as well. Dave, what can we expect from the conference which is coming up in the very near future?
David Kaiser: Very near future. I’m really excited about it. It’s been a lot of work from really, genuinely a very large, wonderful, hardworking committee. I’m most excited because we have 40 plus speakers, including Jon, and Heather’s going to share us a panel. We’re going to hear from early career scholars, from more experienced scholars, we’re going to hear from people representing every single unit in SHASS, from alumni, including Jon, more recent alumni, done different things with their SHASS and MIT educations out in the broader world. We’re going to have a session I’m especially excited about, a showcase put together by Music and Theater Arts, original musical compositions, a dance performance, the jazz ensemble play. I mean, this is just fantastic. For free, really? Plus really good food. It’s going to be great.
It’s going to be an exhausting, but, I think, very, very exciting two days. I think the goal really is to showcase how we’re thrilled to be doing things in our own fields, advancing knowledge in the way that we and our immediate colleagues are most excited about, and it’s not only limited to that. And I think part of the message will be, and has been, as we began the discussion with, practically every challenge we might tick off on our finger is the biggies that keep us up at night. None of those will be solved by a technical fix alone, or frankly, a little tweak on a humanistic side or social science either. We really, really have to continue getting even better at doing the kinds of collaborative work across fields and across departments.
None of these challenges has a single or simple answer. If they did, they wouldn’t be persistent challenges. So the more that we can share with ourselves across our departments with MIT and beyond, it’s open to the public, the symposium is, that this is really a place where we can enter together with humility and experience, both, and try to build teams that couldn’t do these things on their own. And I think we’ve been doing more and more of that with the presidential initiatives, MITHIC and the whole series of them. I think we just have to keep building that as a muscle we can flex and get used to using more often. And if the symposium can help recenter that emphasis for our own colleagues and beyond, I think that’d be a great, great success.
Jonathan Gruber: Peter, I think this raised a really important issue, which is in economics, we have the concept of the public good. What’s the public good? That’s a good where one person’s efforts benefit everyone. In this world of incredibly intense academic pressure and pressure to earn a good living, it’s hard to come to university and focus on the public good as opposed to private good. SHASS is the place at MIT that focuses students on the public good.
You have people like David and Heather who spend so much time dedicated to so many different committees and making MIT function, and that’s led by SHASS. Not that there aren’t great participants all around the university, but SHASS is really the participation leader. And universities need that. That’s the lifeblood of this university, is that kind of volunteerism and participation. I hope that students by being exposed our courses get the value of the public good, that they realize that maybe it’s not as valuable to them, per se, but that there’s a value to the institution and the world of them doing the kind of volunteering that Heather and David do.
Peter Dizikes: That’s very well said.
Jonathan Gruber: Thank you.
Peter Dizikes: Thank you all so much for joining us.
Jonathan Gruber: Thank you.
David Kaiser: Thank you.
Heather Paxson: Thank you, Peter.
Peter Dizikes: It’s much appreciated.
Finding purpose through researchThis summer, BSG-MSRP-Bio student Marina Milea investigated how lung cancers become resistant to targeted therapies, gaining hands-on research experience in the Jacks Lab at the Koch Institute.Most mornings this summer, Marina Milea arrived at the Koch Institute for Integrative Cancer Research building ready to juggle several experiments at once. While one set of samples incubated, she stained mouse tissue sections for immunohistochemical analysis, prepared to run a Western Blot gel, and checked in on an organoid culture.
All this work, and more, was part of learning the complex workflows behind studying how cancer evolves over time in the Jacks Lab at MIT. For the rising senior, who is majoring in biology at the City College of New York (CCNY), the pace was exactly what she had hoped to find through MIT's Bernard S. and Sophie G. Gould MIT Summer Research Program in Biology (BSG-MSRP-Bio).
"The techniques can be taught," she says. "The hardest part has been understanding the complex mouse and organoid models and why we're using them. Once you understand the biology behind the model, you can really interpret your results and think about how they might translate to human biology."
Milea is investigating how lung cancers driven by mutations in the KRAS gene become resistant to targeted therapies by transforming into a different subtype that is often harder to detect and treat, a phenomenon called adeno-to-squamous transition. By studying the signaling pathways and protein families that support this transition, researchers hope to identify new therapeutic targets for patients whose histologically-transformed cancers no longer respond to treatment.
"I wanted to do something that had translational aspects to it — to work on research that could potentially change how patients receive therapy," she says. "That's incredibly motivating as an undergraduate."
Building a foundation
Milea says CCNY has played an important role in helping her pursue research to build upon her strong academic foundation. Located in New York City, the university is uniquely positioned to foster collaborations with nearby institutions, connecting students with laboratory experiences across the city while serving a diverse student population that includes many first-generation and low-income students.
Milea's interest in biology began while attending high school in England, where students choose academic subjects early. Initially drawn to medicine, she pivoted to biomedical research after being diagnosed with an understudied health condition, sparking her curiosity about the mechanisms underlying disease.
Before coming to MIT, Milea gained research experience in several laboratories, most notably at Columbia University between the Azizi and McFaline-Figueroa labs.
"I went from having no cell culture experience to learning CRISPR techniques, T-cell engineering, and machine-learning approaches in a single summer," she says. "It was intense, but it gave me confidence that I could handle a research environment like MIT's."
Learning to think like a scientist
At MIT, Milea found herself in a laboratory that matched both her scientific interests and her desire for close mentorship, working with graduate student Carrie Rodriguez.
"I could tell Carrie genuinely wanted to teach," she says. "She explains not just the protocols, but the biology behind them. By understanding why we're doing each experiment, I could contribute my own ideas."
As the weeks progressed, Rodriguez gradually entrusted Milea with carrying out more and more work independently.
"By the second month, I was running entire workflows on my own," Milea says. "I felt like I was really helping move the project forward."
Milea's willingness to learn and engage deeply with the science made her a valuable member of the lab.
"Marina arrived in the lab with an outstanding attitude, ready to take full advantage of this opportunity. Over the course of the summer, she was able to learn a number of new techniques and, more importantly, dig deep into the biology of lung cancer. She was a wonderful addition to the lab," Tyler Jacks says.
Looking ahead
Outside the laboratory, faculty lectures, journal clubs, and conversations with researchers all play a part in broadening the scientific perspective of BSG-MSRP-Bio program students. A lecture by MIT Professor David C. Page, for example, whose work explores sex differences in health and disease, reinforced Milea's long-term goal of advancing research in women's health.
"He talked about pursuing scientific questions because you believe they're important, even if they're not yet considered priorities," she says. "That, in particular, resonated deeply with me."
Following graduation, Milea plans to pursue a PhD in biomedical sciences and hopes to build a career that combines research, teaching, and mentorship.
A program that values potential
Looking back, Milea hopes other students will feel confident pursuing opportunities that initially appear out of reach.
"A lot of people count themselves out without understanding what a program like this one is looking for," she says. "They value people who have original thinking and who can really contribute to the projects intellectually and practically."
Although the BSG-MSRP-Bio program is one of the country's premier undergraduate research programs, she believes its commitment to fostering students' potential is what makes it exceptional.
"It's somehow the most competitive and the most open-access program there is in the country," she says. "You can be an international student, first-generation, low-income, or from a non-research-intensive university — but you still need to meet high expectations. It's somehow both, which is great."
For Milea, that's what makes the program unique.
"They have high expectations," she says, "but you can be anybody."
Carter Stubbs named Institute auditorNew Audit Division leader brings track record of collaboration, deep knowledge of audit program and MIT operations to role.Carter Stubbs has been appointed MIT’s Institute auditor, effective Nov. 2.
Stubbs, who currently serves as audit assistant director for IT Audit and Advisory Services, has been a member of the MIT community for more than 11 years and brings deep institutional knowledge, highly salient management experience, and a forward-looking vision to the role. Stubbs will succeed Michael Moody, who has served as Institute auditor for 12 years and will retire from MIT in October.
Executive Vice President and Treasurer Glen Shor announced the news today in a letter to MIT’s Academic Council.
“Carter stood out in a competitive field of candidates thanks to his impressive audit and IT expertise, collaborative leadership style, and robust understanding of MIT’s complex operations,” Shor says. “He has earned the trust and admiration of colleagues inside and outside the division and is well-positioned to write its next chapter.”
As Institute auditor, Stubbs will lead a team of internal auditors responsible for independently evaluating MIT’s academic, research, and administrative processes, including operations at Lincoln Laboratory. He will oversee a comprehensive, risk-based audit and advisory program spanning financial, operational, compliance, and technology reviews across the Institute.
The MIT Audit Division maintains a dual reporting structure to ensure its independence. Stubbs and the audit team work for the MIT Corporation Risk and Audit Committee, but receive administrative support from the MIT Office of the Executive Vice President and Treasurer.
“Carter’s strong technical command of IT auditing and hands-on experience auditing and advising on major systems implementations will be especially valuable as the Institute continues to advance its business and digital transformation roadmap,” says Pat Callahan, the chair of the Risk and Audit Committee. “The committee will be well-served by his experience with our current audit program, his demonstrated leadership and sound judgment, and his wide-ranging knowledge of the Institute.”
Stubbs joined MIT in 2015 as a senior auditor of information technology, steadily assuming increasing responsibility for information technology, data analytics, and advisory services. He now leads those functions for the Audit Division and serves on the division’s management team. Working closely with the Institute auditor, Stubbs shapes annual risk assessment work, audit planning, and broader division strategy while managing the oversight of complex engagements; contributing to quality assurance and advancing the division’s capabilities; and proactively responding to emerging institutional needs. Stubbs collaborates with leaders from across MIT’s academic, research, administrative, and technology units, including Lincoln Laboratory, and facilitates communications with Institute governance.
During his time at MIT, Stubbs has built an extensive network of partners and developed a multifaceted understanding of the Institute’s operating model, higher education and research risks, and the leadership judgment necessary to navigate complex institutional matters. He has helped steer cross-Institute efforts involving research data management, artificial intelligence, cybersecurity, and digital transformation. A graduate of the 2025 MIT Leader to Leader program, Stubbs served as an advisor to the MIT Working Group on Artificial Intelligence in Administration and Operations and is a member of the MIT Data Incident Response Team.
“I am honored to serve as MIT’s next Institute auditor,” says Stubbs. “The Audit Division plays an essential role in advancing the Institute’s mission of education and research through independent insight, trusted partnership, and thoughtful perspective on risk. I look forward to building on the division’s strong foundation and helping the Institute navigate an increasingly complex regulatory and risk environment.”
Prior to joining MIT, Stubbs held audit roles at Clean Harbors Environmental Services, Denbury Resources, and PricewaterhouseCoopers, where he developed broad expertise in IT and business process controls across multiple industries. He holds certifications as both a certified internal auditor and certified information systems auditor and earned a BBA in information and operations management from Texas A&M University.
Batteries that safely break down in the GI tract could improve ingestible devices Made from “bioresorbable” materials, the new batteries could power capsules for drug delivery, sensing, and other applications.Using materials safe for human consumption, MIT researchers have created tiny batteries that could be used to power ingestible electronic devices. Such batteries could make the devices safer for patients and minimize the environmental impact of the batteries after they are excreted.
In a new study, the researchers showed that the batteries, which generate 1.84 volts, could power two different types of devices: an RFID tag that can transmit from the stomach, and a capsule that produces a small electrical current that stimulates production of ghrelin, the hunger hormone.
This type of battery, which contains electrodes made from magnesium and molybdenum trioxide, could also be deployed in other ingestible devices for sensing or therapeutic applications, the researchers say.
“For many of the systems we’re developing, we need power, and we power the system through different ways,” says Giovanni Traverso, a professor of mechanical engineering at MIT, a gastroenterologist at Brigham and Women’s Hospital, and an associate member of the Broad Institute of MIT and Harvard. “Often, we use batteries, so the question here was: Could we develop a battery that was bioresorbable, and then apply that across a range of application areas?”
Traverso is the senior author of the paper, which appears today in Nature Chemical Engineering. Former MIT postdoc Mehmet Girayhan Say is the paper’s lead author.
Biocompatible batteries
Over the past decade, Traverso and his collaborators have developed ingestible capsules that can monitor vital signs, deliver a variety of drugs, and detect opioid overdoses.
Not all of these devices require a power source. For those that do, the researchers have powered the devices from an external source that wirelessly transmits power, harvested power from the GI tract, or used small coin batteries. However, those batteries, which usually contain lithium, silver oxide, or other metals, could pose a safety risk if the battery’s protective coating was damaged while traveling through the GI tract.
To create a safer battery and allow the systems to be fully self-contained with no external power needed, the researchers turned to metals that can act as electrodes but are safe for human consumption in small amounts — magnesium and molybdenum trioxide.
“Those materials are known to be relatively safe. That was the biggest driver, thinking about materials that can be tolerated by humans,” Traverso says.
The researchers used magnesium to create the battery’s anode and molybdenum trioxide for the cathode. The battery also contains an ionic liquid gel electrolyte, and the entire system is bioresorbable, meaning that it can be fully broken down and absorbed by the body. The researchers designed two different versions of the battery that could be used for different applications —a disc 7.5 millimeters in diameter and a rectangular bar 24 millimeters long.
To test how the batteries would behave in the GI tract, the researchers first exposed them to a highly acidic solution similar to gastric juice. They found that the batteries function normally for about three days, then their performance begins to slowly decline. Within a few weeks, they break down completely.
The researchers then incorporated the rectangular battery into a degradable device they first reported in 2023, which is designed to deliver a small electrical current to the lining of the stomach. In their earlier work, Traverso’s lab showed that this jolt could stimulate endocrine cells in the stomach to produce ghrelin.
Stimulating ghrelin secretion could prove useful for treating diseases that involve nausea or loss of appetite, such as cachexia (loss of body mass that can occur in patients with cancer or other chronic diseases).
The initial version of that device was powered by two silver oxide coin batteries, similar to those used in FDA-approved ingestible devices. By replacing those with the new magnesium-molybdenum oxide batteries, the researchers made nearly the entire device — with the exception of a printed circuit board — bioresorbable. Any components that aren’t absorbed can be passed through the GI tract and excreted.
In the new study, the researchers showed that new battery was strong enough to generate continuous electrical stimulation for up to three days. Tests in animals showed that 20 minutes of stimulation within the stomach could boost ghrelin levels by about 50 percent.
“What makes this work exciting is that we were able to show that a bioresorbable battery is not just a concept. It can actually power clinically relevant functions inside the gastrointestinal tract and then simply dissolve,” Say says.
Battery-powered communication
The researchers then incorporated the battery into a RFID device, which they designed to help patients adhere to their medication schedules. This capsule can transmit its location from within the GI tract via a bioresorbable RFID tag made from molybdenum and cellulose.
An earlier RFID system, known as SAFARI and reported by Traverso’s lab in January, used passive RFID tags, powered by harvested energy, which limits the communication range.
In the new study, tests in animals showed that RFID tags could be effectively powered by a disc-shaped bioresorbable battery. With the new battery, the device could transmit continuously from the GI tract, and with a longer range (up to 1.5 meters).
The researchers are now planning a clinical trial for the SAFARI system, which they expect will begin in about two years. Such systems could not only be safer for patients, but also would reduce the environmental impact of batteries that would eventually be excreted into the sewage system.
“The benefits are twofold: one, the ability to be bioresorbable, but also the potential to minimize environmental impact because the materials will be degraded in the environment as well,” Traverso says.
The research was funded by Novo Nordisk, the Karl van Tassel Career Development Professorship, MIT’s Department of Mechanical Engineering, the Brigham and Women’s Hospital Division of Gastroenterology, and the U.S. Advanced Research Projects Agency for Health (ARPA-H).
Unmasking “zombie cells” in aging tissue with an AI-powered barcodeTracking down senescent cells, which accumulate as we age, could help diagnose age-related disorders and guide researchers working on new treatments.As we age, some of the cells in our body enter a state of senescence, in which they stop dividing but do not die. Those senescent cells can contribute to age-related disorders such as cancer, tissue degeneration, and inflammatory diseases.
In an advance that could lead to better ways to diagnose and treat those diseases, MIT researchers have developed a noninvasive way to detect biomarkers of senescence. Their method is based on Raman microscopy, which can reveal the biochemical composition of cells without harming them.
By combining Raman microscopy with gene expression data at single-cell resolution from the same cells, the researchers were able to identify unique “barcodes” that can be used to quickly identify senescent cells. This study was done in mouse cells, but the researchers are now working on adapting it for use with human tissue.
“You can imagine that one day we may develop an endoscope that can look inside your body and identify cellular senescence,” says Jeon Woong Kang, an MIT research scientist and one of the senior authors of the study.
The research is part of a National Institutes of Health initiative called the Cellular Senescence Network, which is pursuing a deeper understanding of senescence in hopes of developing therapies that could combat some of the tissue-damaging effects of senescent cells.
Peter So, director of the MIT Laser Biomedical Research Center (LBCR) and an MIT professor of biological engineering and mechanical engineering, and Jian Shu, an assistant professor at Massachusetts General Hospital (MGH) and Harvard Medical School, and an associate member of the Broad Institute and Ragon Institute, are also senior authors of the paper, which appears today in Nature Aging. Lead authors of the paper are Ke Zhang, an instructor at MGH and Harvard Medical School; Xingjian Chen, a postdoc at MGH and Harvard Medical School; Francesco Monticolo, a postdoc at MGH and Harvard Medical School; and Salvatore Sorrentino, a postdoc at MIT.
Characterizing senescence
Cell senescence is often triggered by DNA damage, which leads to an irreversible arrest of the cell cycle. These cells don’t die, but they undergo significant changes to their shape, metabolic processes, and gene expression profiles.
The immune system is responsible for clearing out these “zombie cells,” but as people age, this process becomes less efficient. When senescent cells accumulate, they may contribute to sagging skin, muscle weakness, and chronic conditions such as osteoarthritis and type 2 diabetes.
Cellular senescence also has beneficial effects, playing critical roles in embryonic development and tissue regeneration.
“Senescence is not just a pathological condition,” So says. “The idea behind the NIH Cellular Senescence Network is to take a very comprehensive approach to understand senescence and identify senescent cells, because it plays a role in so many normal physiological conditions and many pathological conditions.”
Scientists have already identified a few biomarkers for senescence, including two proteins called p16 and p21, which are involved in halting the cell cycle. However, those proteins can only be identified using a process that ends up destroying the cells.
The MIT team wanted to find a way to noninvasively identify senescent cells using Raman microscopy. Unlike RNA-sequencing, which consumes the cells as it analyzes them, Raman microscopy is a nondestructive technique that reveals the chemical composition of tissues or cells by shining near-infrared or visible light on them.
In the new study, the researchers used Raman microscopy in conjunction with spatial RNA sequencing — a technique that reveals where genes are active within a tissue — to identify new markers of senescence. By combining these two techniques, they were able to generate a much broader picture of the distinctive features of senescent cells, including gene expression levels, spatial location, and other biochemical information.
“Our idea was to look at many different features to characterize senescence. That’s why we wanted to combine both single-cell gene expression and Raman microscopy, so that we can characterize the senescence from two complementary views,” Shu says.
Using both methods of analysis, the researchers examined skin and lung tissue from 2-month-old mice and 26-month-old mice.
One of the most dramatic changes seen in both lung and skin cells was an increase in lipid synthesis in older cells, along with accumulation of lipids. How this affects the physiology of the cells is not yet known, the researchers say.
The researchers also found some effects that were specific to each tissue. In senescent skin cells, they discovered that cellular pathways associated with muscle contraction and with remodeling of collagen and the extracellular matrix were significantly affected. And in aged lung tissue, they found increased activity of genes involved in immune activation and inflammation.
In future work, the researchers hope to study further what role these changes play in senescent cells.
Identifying senescent cells
Using these data, the researchers were able to identify combinations of Raman peaks that correlate with senescence. These peaks, which represent specific chemical bonds, are linked to the presence of certain lipids, proteins, or other molecules.
“Combining the most important Raman features with the most important gene signatures, we were able to create a barcode that can help us to identify senescent cells in a more unbiased way,” Sorrentino says. “Using this barcode, we can focus on a few Raman bands that emerged as the most informative in this work.” Using these bands, it could be possible to identify senescent cells by looking for just those bands of the Raman spectrum. This could help to enable diagnostics that would detect cells that have become senescent.
To help make that possible, the researchers are now working on a higher-speed version of their Raman imaging system. Currently, it takes about 30 hours to analyze a tissue sample about one square millimeter in size, but they hope to develop a system that can quickly pick out the Raman barcodes they identified from larger samples.
The research was funded by the National Institutes of Health and Massachusetts General Hospital.
MIT researchers are mapping extreme weather risks — and building tools to act on themThe Climate Grand Challenges “New World of Weather” project shows how modeling, planning tools, and infrastructure analysis are translating research into real-world resilience.Warming temperatures are fueling more extreme weather-related events — catastrophic floods, severe hurricanes and cyclones, and wildfires exacerbated by drought. But the tools used by local communities, emergency and public safety agencies, and insurance and risk markets have not kept pace with the up-to-date data and modeling for accurately predicting how these events will evolve.
Addressing that shortcoming was one of five research areas selected for MIT’s 2022 Climate Grand Challenges, an ambitious effort to accelerate science-based solutions to climate problems. The area, titled “Preparing for a New World of Weather and Climate Extremes,” focuses on tools to help evaluate a location’s vulnerabilities to flooding, cyclones, humid heat waves, or other climate-related events.
Four years later, collaborations among more than 40 faculty and student researchers on Weather and Climate Extremes projects have yielded 29 published research papers and digital tools and datasets that are already in use or close to deployment. Individual projects cut across forecasting, risk assessment, on-the-ground planning, and resilient infrastructure.
“Communities across the United States and around the world are already confronting the consequences of extreme weather,” says Evelyn Wang, MIT’s vice president for energy and climate, whose office has been funding and supporting all of the Grand Challenges since 2024. “Through the Climate Grand Challenges, an interdisciplinary team at MIT is advancing the science, technologies, and practical strategies needed to help communities anticipate these risks and build greater resilience.”
Reducing scientific uncertainties
Paul O’Gorman, the Robert R. Shrock Professor of Earth and Planetary Sciences at MIT and co-lead of Weather and Climate Extremes, is refining the science behind forecasting extreme weather events, such as last year’s major flooding events in Central Texas and in Pakistan. “There have been a lot of unprecedented, record-breaking events,” he says, “and we want to understand how they are changing as the climate warms, and how they’re changing in different regions.”
One aspect that his group has been examining is the relationship between extreme rainfall events and a warming climate. Climate models predict that extreme rainfall increases less in summer than other seasons in much of the United States and Europe. O’Gorman’s team found that these seasonal shifts stem from not only how much water is in the atmosphere, which is measured by specific humidity, but also how close it is to saturation, which is measured by relative humidity. “We found that changes in relative humidity played a big role, which was something that hadn’t been appreciated before, and something we need to take into account,” he says.
Modeling is challenging: Relative humidity depends on air circulation, how fast land warms relative to the ocean, soil moisture, and vegetation. “It’s a complex story, but this helps us understand precipitation patterns,” O’Gorman says.
Kerry Emanuel, MIT professor (post tenure) in the Department of Earth, Atmospheric and Planetary Sciences who was also a co-lead of Weather and Climate Extremes, is researching better ways to estimate the risks of extreme hurricanes and severe convective storms, such as thunderstorms and tornadoes. “For hurricanes, we’re pretty much there. We can reproduce the statistics of real hurricanes extremely well just using coarse-grained weather data that has no hurricanes in it,” he says. But for severe convective storms, “we’re not close to being there,” and these storms “in the last decade have cost more lives and more damage than hurricanes.”
Research on the physics of storms is already influencing practice, Emanuel notes. For example, a company called First Street uses Emanuel’s methods to guide local governments, insurers, developers, and real-estate platforms on environmental risk for every piece of private property in the United States.
Improving resilience
Another phase of the Grand Challenge, led by Miho Mazereeuw, an associate professor in MIT’s Department of Architecture and a leading expert on resilient design, translates the information from scientific modeling and data collection into tools for on-the-ground planners. For example, working with leaders and community members in Boston and Broward County, Florida, the team has developed interactive web-based tools that make it easier to plan for impacts such as flooding over a broad range of scenarios.
“When an extreme event happens, there is a gap between scientific knowledge and actionable public information,” says Aditya Barve, a research scientist in Mazereeuw’s Urban Risk Lab. This happens at various levels — from getting real-time information out to people when they need it to collecting data to enable long-term planning to disseminating those plans to communities. “The idea is to target the gap through tools in community emergency data collection, proactive recovery planning, and AI-assisted tools for at-scale visualization of future climate impacts, so that communities are prepared when something happens.”
The team has worked on making flood modeling outputs usable by a wider range of stakeholders, especially where the need for specialized software or technical expertise can slow decision-making across city departments. “Users can ask practical questions, such as which schools are likely to stay driest across different flood scenarios, and receive answers grounded in flood models and city datasets within seconds,” Barve says.
As for recovery after extreme weather events, Mazereeuw points out that most municipalities have an emergency response plan, but few create a recovery plan that includes housing before the event. But, she says, if communities plan how recovery can lead to a better future for the city, they can better leverage emergency relief funding that becomes available. “In almost all cases, the resources available after a disaster are much larger,” she says. “By having a plan in place, those resources can fit the vision of the place moving forward.”
Optimizing energy infrastructure
Associate Professor Michael Howland is working to analyze the impacts of extreme weather on energy infrastructure with a team that includes Jessika Trancik, a professor in the MIT Institute of Data Systems and Society (IDSS), and Saurabh Amin, the Edmund K. Turner Professor in Civil Engineering at MIT. The team is particularly looking at impacts on the electrical power system and ways to optimize decisions on the placement and sizing of new energy infrastructure.
Howland, who is the Jeffrey Cheah Career Development Professor of Civil and Environmental Engineering at MIT, says electrical power systems are increasingly being altered by two things at the same time: first, the proliferation of renewable energy and storage technologies, and second, large-scale changes in weather and extreme events driven by climate change. “Each of these would independently push our electrical power system potentially outside of what we are used to, and their combined, synergistic impacts could be even larger because they are occurring simultaneously,” he says.
Bringing climate modeling and grid-infrastructure work together has accelerated practical insights into how we can adapt to climate change while simultaneously mitigating it, Howland notes. Such modeling can also help to inform infrastructure decisions in ways that may not be obvious. For example, he says, their optimization model for the siting of power resources in Texas resulted in placing a number of wind power plants along the Gulf Coast. “If you look at an average wind speed map,” he says, “you would say this doesn’t make much sense because it’s really windy in northwest Texas on average, and much less windy along the Gulf Coast.”
But it turns out that the typical daily cycle of winds is complementary, so that wind farms distributed between both locations tend to smooth each other out and to better complement solar power generation, easing burdens on the grid. Now, “we’re trying to take it further not just by smoothing the generation, but actually aligning it with the time- and space-varying electricity demand so that we can reduce storage, transmission, and other backup generation needs,” he says.
This work is ongoing, and the hope is that it will lead to products that can directly help utility grid planners and regulators with actionable information about the siting and sizing of various electrical infrastructure resources, Howland says. “We want to continuously push on model realism and accuracy to eventually make it more of a practical and useful tool for grid planners.”
Emanuel adds that the Weather and Climate Extremes Grand Challenge, and other projects working to pinpoint the kinds of risks that can be expected from a changing climate, have produced a great deal of specific and detailed information that could guide political, economic, and civic decision-making. Applying it in the real world can be slow — “like steering a supertanker,” he says — but progress will come.
A new chapter for MIT ReadsA new focus on fiction and memoir aims to help the MIT community celebrate the power of storytelling and strengthen social connection.As it marks its 10-year anniversary, MIT Reads is being reimagined for the age of artificial intelligence.
Recognizing the need to foster social connection and a sense of our shared humanity, the popular MIT Libraries’ program will turn its focus to fiction and memoir, and to the particular power of stories to help us understand ourselves and our place in the world.
“At MIT, we spend a great deal of time on imagining and building for the future. Reading fiction prompts us to think about how what we build might change us,” says MIT Libraries Director Chris Bourg. “Reading together also gives us the increasingly rare opportunity for both individual reflection and shared connection.”
MIT Reads is also evolving with MIT as it explores AI’s influence on the education landscape and the social fabric of the Institute. The value of collective reading, reflection, and discussion has never been more relevant.
A recently released report from MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training urges strengthening social connection and personal well-being, citing MIT Reads as a way to “engage many more people across campus in conversation about shared norms and why community matters.”
Launched in 2016, MIT Reads was designed to foster empathy, understanding, and belonging within the campus community. Each selected book is accompanied by programming such as talks by the featured author, panel discussions, and small-group conversations facilitated by library staff.
The program’s reach extends well beyond MIT. Most author events are open to the public and streamed online, and videos of MIT Reads talks have been viewed more than 5,000 times.
To mark this new era of MIT Reads, President Sally Kornbluth has selected the fall 2026 book “Exhalation,” by Ted Chiang. “Exhalation” is a bestselling collection of short stories, named one of The New York Times’ best books of 2019. In it, Chiang creates thought-provoking science fiction scenarios involving robots, time travel, and alternate universes, while exploring timely issues of identity, free will, language, and the impacts of technology.
“With the stories in his 2019 ‘Exhalation’ collection, Ted Chiang offered an uncanny preview of many issues we’re grappling with now concerning technology, particularly the relationship between humans and artificial intelligence,” says Kornbluth. “He raises deep questions about the future that humans and machines will share and offers provocative ideas and possibilities. I’m delighted that MIT Reads will give us the opportunity to explore his work together.”
“MIT is not alone in grappling with these big questions around technology and its relationship with humanity,” adds Bourg. “These questions call for a much wider discussion, and we invite readers everywhere to join us.”
In addition to its discussion as part of MIT Reads, students in the first-year advising seminar 21.A01 (Reading Great Books with Compass) will be reading “Exhalation” this fall; the class is part of the Compass initiative designed by faculty from across the School of Humanities, Arts, and Social Sciences and supported by the MIT Human Insight Collaborative.
A new understanding of how enzymes influence bacterial protein productionNovel research expands scientific understanding of how RNA shapes the reading of genetic information.Antimicrobial resistance is one of the most pressing global health and development challenges of our time. Bacteria and other pathogens are rapidly developing resistance to existing treatments, making infections harder to treat. Without new approaches, minor inconveniences today, such as routine surgeries or even a paper cut, could become life-threatening tomorrow.
Now, an international group of scientists reports the discovery of aminovaleramididine synthetase (AvaS), the first identified pyridoxal phosphate (PLP)-dependent enzyme responsible for producing a chemical modification linked to how bacteria respond to metabolic stress. This discovery sheds new light on how bacteria use RNA modification to control protein production, opening new avenues to study bacterial adaptation and identify future targets and better strategies for developing antimicrobial therapeutics.
The work was led by researchers from the Singapore-MIT Alliance for Research and Technology’s Antimicrobial Resistance interdisciplinary research group (SMART AMR), alongside collaborators from MIT, Nanyang Technological University in Singapore, and institutions in the United States, Poland, and France.
“While many RNA modifications have been known for decades, researchers are still uncovering the full extent of their roles. The discovery of AvaS opens a previously unknown chapter in RNA biology and is an important step forward in our understanding of processes relevant to antimicrobial resistance,” says Professor Peter Dedon, co-lead principal investigator at SMART AMR, professor of biological engineering at MIT, and co-corresponding author of a new paper on the work. “As we continue to map the RNA modification landscape, we expect many more discoveries with meaningful implications for infectious disease, antimicrobial resistance, and fundamental biology.”
Bacteria can develop resistance to antibiotics using various strategies, many of which depend on the bacteria’s ability to regulate which proteins are made, when they are made, and how accurately they are produced — whether by pumping drugs out of their cell, creating enzymes that break down drugs, or developing new cell processes to avoid the antibiotics’ target.
To build these proteins, bacteria rely on RNA molecules to read genetic instructions and direct protein production. Among these RNA molecules are transfer ribonucleic acid (tRNAs), a specialized class of RNA that acts as molecular delivery vehicles bringing chemical “stickers” to help bacteria control how proteins are made in response to stress and changing conditions such as exposure to antibiotics.
In the open-access paper, “Pyridoxal phosphate-dependent biosynthesis of aminovaleramide by AvaS in tRNA,” published Sept. 9 in Nature Chemical Biology, the researchers described their discovery of the new enzyme and identified it as being responsible for creating a tRNA chemical modification known as aminovaleramide cytidine (ava2C) in Pseudomonas aeruginosa, a harmful bacterium responsible for a range of serious human infections such as pneumonia and sepsis. While ava2C had previously been detected in several bacteria and plants, the enzyme responsible for producing this modification was previously unknown.
Using SMART AMR’s high-throughput liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based RNA modification profiling platform, the team systematically screened thousands of P. aeruginosa mutants and discovered AvaS. The researchers also confirmed the presence of ava2C in other organisms, including the bacteria Acinetobacter baumannii and Vibrio cholerae, as well as the plant Arabidopsis thaliana.
The research revealed that AvaS uses PLP, a vitamin B6 derivative, to convert a known modification, lysidine (k2C), into ava2C; marking the first time that a PLP-dependent enzyme has been linked to tRNA modification. Traditionally, PLP-dependent enzymes have only been associated with amino acid metabolism and related biochemical pathways.
The research findings revealed a few important insights about PLP-dependent enzymes. First, the discovery establishes PLP-dependent enzymes as a previously unrecognized class of tRNA-modifying enzymes, expanding the known chemical mechanisms, such as methylation, thiolation, and isomerisation, that bacteria use to regulate protein production. Second, it reveals an entirely new biological function of PLP-dependent enzymes, demonstrating that they can directly modify tRNA in addition to their well-established roles in metabolic processes.
The research also found that ava2C changes how bacteria read genetic codes, enabling the bacteria to produce protein faster and more efficiently while helping them adapt to metabolic and oxidative stress.
“Our discovery has revealed, for the first time, that PLP-dependent enzymes can directly modify tRNA, expanding our knowledge and understanding of RNA-modifying chemistry,” says Jingjing Sun, research scientist at SMART AMR, first author, and co-corresponding author of the paper. “This opens up new avenues for studying bacterial adaptation and developing new and more effective strategies to overcome drug-resistant bacteria.”
Building on this discovery, the SMART AMR team plans to investigate how ava2C affects bacterial stress responses and metabolism and explore how the modification can be disrupted or prevented. Understanding this process could uncover new ways to fight harmful bacteria and develop future antimicrobial therapeutics. With ava2C also being observed in plants, future studies could explore whether other living organisms use similar biological tools to produce certain chemical modifications and how ava2C influences the way proteins are built beyond bacteria.
More broadly, this work highlights the strength of SMART AMR’s first-of-its-kind epitranscriptomics platform as a powerful engine in discovering more unknown RNA-modifying enzymes at scale. This capability could also support biotechnology and pharmaceutical researchers in finding new drug targets and developing better treatments, particularly as bacteria continue to develop resistance against existing drug treatments.
The research conducted at SMART is supported by the National Research Foundation Singapore under its Campus for Research Excellence and Technological Enterprise program.
Fueling a return journey from MarsPhD candidate Lanie McKinney is building technology to convert the Red Planet’s atmosphere into propellant for bringing astronauts home.When Lanie McKinney was 3 years old, her parents stopped at a massive meteor crater during a road trip through the U.S. Southwest. As they prepared to leave, McKinney began to protest.
“I want to wait here for the next one,” she told them.
She didn’t yet understand that another meteor wasn’t likely to land in exactly the same spot. But the story, which her parents still tell, captures a fascination that has remained with McKinney throughout her life.
“I just always remember being captivated by space and what is out there,” she says.
Today, McKinney is entering her fifth year as a PhD candidate at MIT, where she works in the Aerospace Plasma Group with Esther and Harold E. Edgerton Associate Professor Carmen Guerra-Garcia. McKinney’s research focuses on developing technologies that could help humans explore Mars.
One of the challenges of sending humans to the Red Planet is figuring out how to supply them once they arrive — including how to enable their journey back home. Rather than transporting everything from Earth, McKinney is interested in using the resources already available on the planet, a concept known as in-situ resource utilization, or ISRU.
“If we don’t build gas stations on Mars, it will be very difficult to get humans back to Earth,” she says. “We’re going to need some way to produce the propellant on site.”
McKinney’s research uses cold plasma to convert carbon dioxide, which is abundant in the martian atmosphere, into oxygen and carbon monoxide, a technology that could eventually be used to produce life support and propellant on Mars.
An Oklahoma native, McKinney earned her bachelor’s at the University of Tulsa, where she studied physics and applied mathematics. She had initially expected to pursue astrophysics, but a summer research internship at the University of Colorado at Boulder introduced her to plasma physics through a project involving dusty plasmas in the lunar environment.
“I thought it was an incredibly interesting problem,” she says.
At MIT, McKinney has developed a small reactor that can convert carbon dioxide into oxygen and other products. The challenge now is separating out the oxygen before it recombines.
“We can actually perform the conversion step really well,” she says. “But what happens in a plasma is we convert it, and then we get a mixture that needs to be separated.”
Her current work pairs the plasma reactor with an oxygen-selective membrane designed to extract oxygen rapidly. The integration process isn’t well-understood, leaving McKinney and her colleagues with questions about how the reactive plasma environment will affect the membrane.
“We are not entirely sure what we will see,” she says.
For McKinney, the possibility of connecting laboratory experiments to future human missions is what makes the work particularly rewarding.
“I get to work in a really cool lab and develop exciting experiments,” she says. “I get ownership over an entire experimental system, and then I get to connect that to performance requirements for a future Mars system. That’s just the dream.”
That same philosophy has shaped McKinney’s work beyond her thesis. Through MIT’s Space Resources Workshop, she has participated in NASA competitions focused on sustaining humans in space. Her first competition involved designing a self-sustaining Mars mission for 10 years.
“I had no clue what was going on,” she says. “I didn’t know anything about space systems. So, my mentality was, let me jump in and learn.”
She later co-led MIT’s CERBERUZ team for NASA’s LunaRecycle Challenge, which asked teams to develop ways to recycle waste on missions to the moon and deep space. The MIT team recently won first prize in Phase 2, receiving $775,000 in awards for a system that grinds mixed trash into powder that can be reused via injection molding to make spare parts and 3D-printing filament.
Another project McKinney enjoyed brought together engineers and architects through MAS.S66/4.154/16.89 (Space Architecture) to tackle a different problem: how to protect lunar habitats from radiation using only resources available on the moon. The students’ solution was to produce cast bricks from lunar regolith that could be stacked without mortar or another binder. For McKinney, the project demonstrated the value of bringing together people with different expertise.
“The kinds of innovative solutions that can be discovered when you work on a team that brings together different expertise and experiences was one of the project’s major takeaways,” she says.
The experience reflects a broader lesson McKinney has taken from MIT: Research may involve focused individual work, but solving the problems of human space exploration will require collaborations across disciplines.
“I feel like I have learned so much from being a part of these different teams,” she says.
McKinney sees that collaboration as essential to the future she hopes to help build. Reaching the Moon and Mars is only the first step: “What comes next is building up a permanent presence so that we can do amazing science and be really effective at exploration,” she says.
McKinney’s fascination with exploration extends beyond her research. She is an avid hiker and mountaineer, having grown up hiking with her family in the Rockies. She recently completed a mountaineering course in Alaska and summited Mount Baker in the Cascade Range. She sees a connection between those adventures and the curiosity that first drew her to space.
“I love to explore and go on adventures,” she says. “And space is the ultimate thing you could explore.”
That curiosity has also shaped how McKinney approaches her work. When she arrived at MIT from the University of Tulsa, she initially felt intimidated.
“I thought that it was a fluke that I’d gotten in,” she says. “I was very nervous that I was not going to measure up to the environment.”
Over time, she learned to approach unfamiliar problems by asking questions and committing fully to whatever interested her.
“If something interests you, try it and go all in,” she says.
Meet the 2026 tenured professors in the School of Humanities, Arts, and Social SciencesFaculty members granted tenure in Comparative Media Studies/Writing, Economics, Political Science, and Theater.In 2026, five faculty were granted tenure in the MIT School of Humanities, Arts, and Social Sciences.
Volha Charnysh is an associate professor in the Department of Political Science. She studies the role of identity in state-building and economic development and the effects of violence. Her first book, “Uprooted: How post-WWII Population Transfers Remade Europe” (Cambridge University Press, 2024), focuses on the enduring consequences of mass displacement and resulting cultural heterogeneity. She received her PhD from Harvard University in 2017 and joined the MIT faculty in 2018.
Grisha Coleman is a full professor in the Music and Theater Arts Section. Her research explores tensions between our physiological, technological, and ecological systems; human movement, our machines, and the places we inhabit. Her practice engages an interdisciplinary approach to these explorations. She earned an MFA in music composition and integrated media from California Institute of the Arts. She joined the MIT faculty in 2026.
Tung-Hui Hu is an associate professor in the Comparative Media Studies/Writing program. A poet and a scholar of digital media, he is the author of five books, most recently “Digital Lethargy: Dispatches from an Age of Disconnection” (MIT Press, 2022), “A Prehistory of the Cloud” (MIT Press, 2015), and “Greenhouses, Lighthouses” (Copper Canyon Press, 2013). Hu is interested in how concepts such as race and normal language became measurable, governable objects in the form of datasets. He earned a BA in comparative literature from Princeton University, an MFA in creative writing from the University of Michigan, and a PhD in film studies from the University of California at Berkeley. He joined the MIT faculty in 2026.
Tobias Salz is an associate professor in the Department of Economics. He works in the field of industrial organization and studies how digital platforms and other intermediaries shape competition and market outcomes. The applications of his research span digital markets, transportation, and artificial intelligence, and often combine economic theory with novel data and field experiments. His recent work examines market power in web search, personalized platform pricing, and how human experts and AI can work together in medical diagnosis. He received his PhD in economics from New York University in 2016 and joined the MIT faculty in 2019.
Christian Wolf is an associate professor in the Department of Economics. His research is primarily concerned with the question of how monetary and fiscal policy can be used to stabilize the economy. A key aim of his work is to learn as much as possible about such stabilization policy directly from micro- and macroeconomic data, rather than through reliance on structural models. Wolf joined the MIT faculty in 2021 after earning his PhD in economics from Princeton University.
MIT School of Engineering faculty and staff receive awards in spring 2026Faculty members and researchers were honored in recognition of their scholarship, service, and overall excellence.Each year, faculty and researchers across the MIT School of Engineering are recognized with prestigious awards for their contributions to research, technology, society, and education. To celebrate these achievements, the school periodically highlights select honors received by members of its departments, institutes, labs, and centers. The following individuals were recognized in spring 2026:
Faez Ahmed, the Esther and Harold E. Edgerton Associate Professor in the Department of Mechanical Engineering, received a 2025 Air Force Office of Scientific Research Young Investigator Program Award. The award provides early-career U.S. scientists and engineers with up to $450,000 over three years to support innovative research.
Navid Azizan, the Alfred Henry (1929) and Jean Morrison Hayes Career Development Professor and an associate professor in the Department of Mechanical Engineering, has received a National Science Foundation (NSF) CAREER Award. The Faculty Early Career Development (CAREER) Program is a foundation-wide activity that offers the NSF’s most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization.
Yet-Ming Chiang, the Kyocera Professor of Materials Science and Engineering in the Department of Materials Science and Engineering, was named a Boston Globe Tech Power Player 2026. The annual list highlights the impact of local leaders on technology and business.
Samantha Coday, an assistant professor in the Department of Electrical Engineering and Computer Science, received a 2025 ARPA-E IGNIITE Award. The award aims to support early-career innovators seeking to convert disruptive and unconventional ideas into impactful new technologies across the full spectrum of energy applications.
Srini Devadas, the Edwin Sibley Webster Professor and a professor in the Department of Electrical Engineering and Computer Science, received the 2026 ACM-IEEE CS Eckert-Mauchly Award, which recognizes contributions to computer and digital systems architecture.
Joel Emer, professor of the practice in the Department of Electrical Engineering and Computer Science, received the 2026 ACM SIGARCH/IEEE TCCA Influential Paper Award. This award recognizes the paper from the ISCA Proceedings 20 years earlier that has had the most impact on the field (in terms of research, development, products, or ideas) during the intervening years.
Chuchu Fan, an associate professor in the Department of Aeronautics and Astronautics, received the IEEE Robotics and Automation Society Early Academic Career Award in Robotics and Automation. The award recognizes academics who have made an identifiable contribution or contributions that have had a major impact on the robotics and/or automation fields.
Yoel Fink, the Danae and Vasilis (1961) Salapatas Professor in the Department of Materials Science and Engineering, received the American Physical Society Andrei Sakharov Prize, which recognizes outstanding leadership and achievements of scientists in upholding human rights.
Aristide Gumyusenge, an assistant professor the Department of Materials Science and Engineering, received the 2026 Early Investigator Award from the American Chemical Society's Polymeric Materials: Science and Engineering Division. Honorees are chosen from early-career emerging leaders who have made significant contributions in their respective fields within polymer materials science and engineering.
Paula Hammond, dean of the School of Engineering and an Institute Professor in the Department of Chemical Engineering, received the AIChE 2026 John M. Prausnitz Institute Lecture Award. The Prausnitz AIChE Institute Lectureship is awarded to a distinguished member of AIChE who has made significant contributions to chemical engineering in their field of specialization.
Robert Langer, the David H. Koch (1962) Institute Professor in the departments of Biological Engineering (BE) and Chemical Engineering, received the 2026 Robert A. Welch Award in Chemistry from the Welch Foundation. This prestigious prize recognizes important research contributions that have had a significant and positive impact on humankind.
Gareth McKinley, the School of Engineering Professor of Teaching Innovation and a professor in the Department of Mechanical Engineering, was elected to the National Academy of Sciences. Awardees are recognized by their peers for their outstanding contributions to research in the natural and social sciences.
Farnaz Niroui, Robert J. Shillman (1974) Career Development Professor in Electrical Engineering and Computer Science and an associate professor, received the Rising Star of Microsystems Award from the Transducer Research Foundation, which is intended to highlight the next generation of innovators shaping the future of microsystems, microfabrication, MEMS, micro/nanomanufacturing, and closely related fields.
Tomás Palacios, the Clarence J. LeBel Professor in the Department of Electrical Engineering and Computer Science, received the 2026 Quantum Devices Award from the International Symposium on Compound Semiconductors for significant advancements in wide bandgap semiconductors and nanostructures to improve electronics and pave the way for heterogeneous integration with silicon CMOS.
Ritu Raman, the Eugene Bell Career Development Professor of Tissue Engineering and an associate professor in the Department of Mechanical Engineering, received a Grainger Foundation Frontiers of Engineering Grant from the National Academy of Engineering. The grants provide seed funding for participants at U.S.-based institutions to support further pursuit of new interdisciplinary research and projects stimulated by interactions at the U.S. Frontiers of Engineering symposium.
Lindsey Raymond, an assistant professor in the departments of Electrical Engineering and Computer Science and of Economics, was named a 2025 Early Career Fellow by Schmidt Sciences AI2050. AI2050 issues awards to enable and encourage bold and ambitious research, often multidisciplinary, that is typically hard to fund but socially beneficial. Awards are given for exceptional work tackling one or multiple items from a working list of hard problems.
Daniela Rus, the Panasonic Professor and a professor in the Department of Electrical Engineering and Computer Science, received the 2026 High-Tech Prize of the Bavarian Minister-President. This prize is the most highly endowed award for technology and engineering in Germany.
Afreen Siddiqi, a research scientist in the Department of Aeronautics and Astronautics, received a 2026 Guggenheim Fellowship. Working across 55 disciplines, the fellows were selected from almost 5,000 applicants for “prior career achievement and exceptional promise.”
Vincent Sitzmann, an associate professor in the Department of Electrical Engineering and Computer Science, received both a CAREER Award from the National Science Foundation and the Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award from the IEEE Computer Society. The PAMI Young Researcher Award is given to a researcher within seven years of completing their PhD for outstanding early career research contributions.
Loza Tadesse, the Latham Family Career Development Professor and an assistant professor in the Department of Mechanical Engineering, was named to Chemical & Engineering News’ 2026 Talented 12. This annual list recognizes early-career researchers who are rising stars in chemistry, selected for their innovative work and growing impact in the field.
Kripa Varanasi, the Maher A. Elmasri Professor of Mechanical Engineering, accepted a United Nations World Intellectual Property Organization Global Award on behalf of his startup, AgZen. The award recognizes the company’s efficient agrochemical spraying patent portfolio.
Understanding the world, from the Cold War to the age of AIFor 75 years, the Center for International Studies has brought together social scientists, engineers, and practitioners to understand global change, shape public debate, and address generational challenges.At a moment when global alliances are shifting, technological change is accelerating, and the boundaries between science and geopolitics are dissolving, understanding the world demands new ways of thinking.
For 75 years, the MIT Center for International Studies (CIS) has helped meet that challenge — bringing together engineers, social scientists, and policy practitioners to confront the most pressing global challenges of their time. From developing the foundations of modern international security to redefining how the United States engages with the world, CIS has not only studied global affairs, it has helped shape them.
What distinguishes CIS is not just the scope of its work, but the way it approaches it.
At MIT, international studies does not sit apart from science and technology, it is embedded within it. This proximity has enabled generations of scholars to tackle geopolitical problems with tools and perspectives rarely found in traditional academic and policy environments.
“Being situated within the world’s leading technical institution enables a lot of exciting possibilities,” says Evan Lieberman, the director of CIS and the Total Professor of Political Science and Contemporary Africa. “We focus on critical problems in international development and security — always with an eye towards the challenges and opportunities presented by technological change. Beyond that, a big part of our mission is to provide global perspectives and engagement avenues relevant to scientists and engineers.”
Established during the dawn of the Cold War, CIS pioneered a new understanding of global power: that science, technology, and geopolitics were becoming deeply intertwined. From the beginning, it convened faculty across disciplines — economics, political science, engineering, and beyond — setting a template that has since become a model for institutions around the world. Over the decades, this approach has produced an outsized impact.
In 1961, a memorandum to President John F. Kennedy from MIT economist Max Millikan — the inaugural director of CIS — helped inspire the creation of the Peace Corps, fundamentally reshaping how the United States engages in global development.
CIS scholars such as Lincoln Bloomfield and William “Bill” Kaufman played a central role in establishing security studies as a rigorous academic field in the late 1950s. Less than two decades later, Jack Ruina and George Rathjens founded the center’s Arms Control and Defense Policy Program (now known as the MIT Security Studies Program), which has influenced generations of policymakers and trained generations of scholars.
The study of modernization and political development has also long been central to the work of the center, with notable luminaries such as Lucian Pye and Myron Weiner helping to lead the way.
A legacy of global exchange
At the same time, CIS has reshaped how knowledge flows across borders. The MIT International Science and Technology Initiatives (MISTI), launched in 1983 by Institute Professor Suzanne Berger, has sent thousands of MIT students abroad to work, study, and conduct research alongside international partners — experiences that extend far beyond traditional study abroad. In doing so, it helped change longstanding assumptions about the United States’ role in the world, demonstrating that learning is most powerful when it is reciprocal.
That ethos of mutual exchange continues to define CIS today. Through initiatives such as the Global Seed Funds, MIT faculty, researchers, and their students collaborate with academic partners around the world to advance shared research agendas.
The connection between these initiatives can be traced to Richard Samuels, Ford International Professor of Political Science and director of CIS from 2000 until 2023. His creation of the MIT-Japan Program in 1981 served as the model for MISTI. He was also the visionary behind the launch of the Global Seed Funds in 2008.
Together, these programs reflect a consistent vision: that the strongest ideas emerge through sustained engagement with partners around the world.
Expertise in action
Drawing on deep regional expertise, CIS also serves as a platform for global engagement across MIT, mobilizing cross-disciplinary knowledge to respond to unfolding international crises and inform both scholarly and policy debates.
Its MIT-MENA Program, led by Richard Nielsen, associate professor of political science, recently convened experts to assess the energy and security implications of disruptions in the Strait of Hormuz; the MIT-Ukraine Program, under the direction of Elizabeth Wood, Ford International Professor of History, brings together scientific, technical, and academic expertise to design sustainable solutions for a nation at war; and the MIT-China Program, directed by Yasheng Huang, professor of global economics and management at the MIT Sloan School of Management, is creating a hub for scholars and policy experts focused on balancing the Institute’s engagement with China.
Scholarship that shapes security
For decades, the MIT Security Studies Program, directed since 2019 by Taylor Fravel, the Arthur and Ruth Sloan Professor of Political Science, has been a leading incubator of ideas that have shaped debates on grand strategy, nuclear policy, civil conflict and Asian security. Its affiliated scholars, fellows, and graduate students have produced policy relevant research that continues to inform policymakers grappling with an increasingly complex international security challenges.
Building on that legacy, SSP recently established the Center for Nuclear Security Policy (CNSP) — made possible by a $45 million gift from the Stanton Foundation. Directed by Vipin Narang, the Frank Stanton Professor of Nuclear Security and Political Science, the CNSP aims to expand MIT’s leadership in addressing one of the most urgent challenges of our time: managing the risks posed by nuclear weapons in a rapidly evolving and uncertain geopolitical environment.
Another cornerstone of CIS’s security work is Seminar XXI, currently led by Kelly Greenhill, who holds faculty appointments at MIT and Tufts University. The annual, nine-month program brings together rising leaders from across the U.S. government, military, and national security community. In three decades, more than 2,500 participants have engaged deeply with issues such as nationalism, technological disruption, and global conflict — developing new frameworks for decision-making in high-stakes environments.
Advancing research, expanding dialogue beyond its anchor programs, CIS continues to invest in the next generation of scholars and practitioners. Undergraduate research initiatives, postdoctoral fellowships, and visiting scholar programs — including the Robert E Wilhelm Fellowship — create space for emerging and established leaders to explore critical questions, from governance and corruption to political reform and social change.
It also prioritizes policy-relevant research by supporting conferences, workshops, labs, and research initiatives on key problems in international affairs.
Finally, CIS plays a vital role in connecting MIT to the broader world. Through public events like the Starr Forum, the center brings leading global voices to campus, fostering dialogue on issues that shape international politics and policy.
The next 75 years
As CIS looks to the future, its mission is evolving to meet a dramatically changing global landscape.
“The moment we’re in now is so different from the Cold War era,” says Lieberman. “We’re seeing a much more complex global system, with new actors and new kinds of challenges.”
In what Lieberman describes as CIS 2.0, the center is sharpening its focus on the forces that will define the coming decades. This includes the geopolitical implications of artificial intelligence, the future of global cooperation in an era of climate crisis, and the evolving role of the United States within an increasingly contested international order.
Addressing these challenges will require exactly the kind of interdisciplinary, globally engaged approach that has defined CIS for the past 75 years. It will also require a renewed commitment to collaboration — across fields, across institutions, and across countries.
“A key source of our value added is to convene complementary sources of expertise,” Lieberman says. “It’s about bringing people together who might not otherwise be in the same room, and asking how we can have the greatest possible impact.”
Seventy-five years after its founding, CIS remains guided by a simple but powerful idea: that understanding the world — and improving it — demands more than any single discipline, perspective, or nation can offer alone.
The CIS’s 75th anniversary symposium, taking place Oct. 15-16, will explore the defining challenges of today with leading thinkers.
Lincoln Laboratory summer research interns take on national security challengesAnna Raymaker and Vivek Jagadeesh tackled cybersecurity threats to ships and inside operating systems, respectively.Nearly 170 interns recently dispersed from MIT Lincoln Laboratory to return to their undergraduate or advanced degree programs. For Anna Raymaker and Vivek Jagadeesh, however, the work is just getting started. They are among more than two dozen interns staying on as student technical assistants, continuing to support the laboratory's national security research during the 2026-27 academic year.
"Our summer research program is a key pathway for developing talent to support defense-critical programs," says Robert Loynd, executive officer in the Director's Office. "Interns are embedded in R&D teams across nearly all mission areas, from missile defense and cyber operations to advanced communications and quantum technologies."
In 2026, the laboratory's intern program was named to Yello and WayUp's Top 100 Internship Program list and received the organizations' Public Service Award. This award recognizes programs that demonstrate exceptional commitment to meaningful intern engagement that benefits the public good.
Anna Raymaker: Securing maritime infrastructure
Anna Raymaker found her bearings when she began researching maritime security. Four years ago, the PhD student at Georgia Tech had just started her cybersecurity studies, but hadn't yet settled on a focus area. When her advisor offered a project building a boat test bed, the Florida native was hooked.
As she began presenting her test bed research at academic cybersecurity conferences, she noticed a gap: "No one was really looking at shipping security," she says. That realization led her to speak directly with mariners to learn about the cybersecurity issues they faced.
One issue mariners repeatedly raised was the security of the Automatic Identification System (AIS), a device that helps ships avoid collisions by broadcasting their location, speed, and course. International regulations require all ships over 300 gross tons — such as cargo, tanker, and cruise ships — to transmit their identity via AIS at all times.
"Mariners told me that AIS is their source of truth, so it was very scary when they experienced it being manipulated in the wild," Raymaker says. For example, so-called "ghost fleets" could use AIS to disguise themselves as other vessel types to evade sanctions. Such deception is possible because AIS does not require identity verification.
This summer, Raymaker examined AIS security firsthand at Lincoln Laboratory. Her goal was to analyze the trust assumptions built into the system and identify where those assumptions could be exploited. Her research revealed several methods of interfering with AIS, including radio-based "spoofing," in which false messages can appear to come from a legitimate device. Spoofed messages could, for instance, instruct ships to switch transmission channels or report a fake vessel position, potentially causing ships to change course. Working with her Lincoln Laboratory advisor, Hamed Okhravi, she then explored defenses against these false signals.
"Recent events have demonstrated that AIS security is not merely a theoretical concern, as manipulation or spoofing of maritime positioning data can directly affect navigation, safety, and global shipping. Anna's work directly contributes to understanding and mitigating these emerging risks," Okhravi says. "She built a new experimental test bed from scratch, conducted detailed experiments, analyzed the results, and helped turn the work into a publication, demonstrating excellent hands-on technical and research skills."
Raymaker says she has been both surprised and encouraged by the laboratory's collaborative culture. Mentioning her AIS project in a hallway conversation would prompt staff to offer help or connect her with relevant experts. "The opportunity to network with all these experts and see what other groups do is extremely unique. Any student would benefit from that kind of exposure," she says.
As a student technical assistant, Raymaker will research other dimensions of maritime security. She's particularly interested in preventing the malicious cutting of undersea cables, which has become a major geopolitical security concern. "Ships are big and slow. If we have data on where they're moving, maybe we could use it to predict when a ship is going to do something bad," she says.
After graduation in the spring, she hopes to keep working through the problems she heard from mariners: "I want to go one by one down that list to create solutions that might help. Their job at sea is hard, and they deserve to be protected."
Vivek Jagadeesh: Readying cyber technology for industry adoption
Vivek Jagadeesh is a master's student at Worcester Polytechnic Institute. His path to Lincoln Laboratory came together naturally. After interviewing for a summer position, he learned that his advisor had a connection with staff in the Secure Resilient Systems and Technology Group. That connection gave him the confidence that the laboratory was the right fit for his interests. As it turned out, the group's work aligned closely with the problems Jagadeesh was tackling in his research: securing operating systems.
Specifically, Lincoln Laboratory researchers have been developing Hardware-Assisted Kernel Compartmentalization (HAKC). The core software of an operating system, a kernel typically has the highest level of access to a computer's hardware. Because of that access, a single bug in kernel code can lead to catastrophic security failures. HAKC mitigates this risk by dividing kernel code into smaller components, each separated by access-control checks. The team anticipates that the technology can resolve vulnerabilities in Linux kernels, which power most of the world's devices.
Jagadeesh's focus has been on supporting HAKC's transition to industry. "The idea is to make the technology less proprietary, so that any of the big distributors of Linux, like Red Hat, or Canonical, can use it," he says. Those distributors, however, need clear insight into how HAKC modifies the kernel code. To enable this insight, Jagadeesh developed a tool called a source-to-source compiler, or transpiler.
A compiler converts C source code into binary for machines to execute. Different compilers process code differently, and the compiler HAKC uses differs from the compiler used frequently by the greater Linux community. Modifications to code are usually done at an intermediate stage — a translated version of the code that compilers use before generating binary — but interfacing with the code at this stage varies by compiler, making modifications hard to transfer between systems. To avoid this problem, Jagadeesh's transpiler inserts HAKC code directly into the original C source file, while preserving the source file's original information and making additions easily identifiable. As a result, any developer can audit the changes HAKC implements, and HAKC can cleanly integrate into the complicated build systems used by kernel developers and distributors.
"Creating a transpiler is a non-trivial task, but that is nevertheless what Vivek achieved. His transpiler is capable of transforming the entire Linux kernel, a key milestone we need to bring HAKC to industry," says his Lincoln Laboratory advisor, Derrick McKee, who began developing HAKC as a student researcher himself five years ago.
According to McKee, the transpiler will serve as the foundation for the next iteration of HAKC. That new version is planned for release under the Open Resilient Compartmentalization Alliance, a Linux Foundation initiative dedicated to bringing compartmentalization technology to Linux systems.
Jagadeesh says he felt strongly supported throughout the internship, meeting with the project's two principal investigators at least twice a week. "It felt like we were working on this together in a big way — and I got a lot of support from everyone responsible for it," he says. He looks forward to working on other aspects of system security in the group this fall.
For students considering a laboratory internship, Jagadeesh offers this perspective: "You get to work on real things that have an actual impact. It's work that, after you go back to school, you'll apply to more research going forward."
More information on Lincoln Laboratory's summer research program and other student opportunities can be found here.
Every new generation of phone display, television screen, and solar panel is a result of precision optics experiments, which use lasers and other light sources to measure the optical properties of candidate materials. These experiments can take months to run, requiring scientists to meticulously angle and adjust delicate light sources, mirrors, cameras, and other components, in a careful and constant tuning that can be physically tedious and time-consuming.
But MIT scientists say the whole process of building and running an optics experiment could one day be fully automated. Taking a step toward such a future, they have developed a reconfigurable, robotic optics laboratory.
The new robotic lab autonomously assembles standard optical components into desired configurations. It can then tune the angle and position of mirrors and lenses with micron-scale precision to produce beams of light with specific properties. The system can also safely dismantle an experiment and reassemble the parts into an entirely new setup.
The team showed that the robotic system could autonomously build and fine-tune a tabletop laser cavity — a key element of most optics experiments. The system could also precisely manipulate components to perform several optical tasks, such as centering a laser beam, aligning multiple beams, and automatically stabilizing the beams in response to physical disturbances.
“We start with randomly placed components,” says Sachin Vaidya, a postdoc in MIT’s Research Laboratory of Electronics. “At the end, we have a fully functioning laser that the robot has built.”
The researchers are expanding the robotic lab, in a physical and virtual sense. In addition to improving the system’s physical sensing, maneuvering, and overall space, they are developing a cloud-based application that gives users virtual access to the physical robot. They envision that one day, scientists from anywhere will be able to remotely access robotic optics labs and virtually submit experimental protocols or queries that the labs would then set up and run autonomously.
“There are many things this could enable,” says Marin Soljacic, the Cecil and Ida Green Professor of Physics at MIT. “A robot isn’t going to get bored. It can work 365 days, 24 hours a day, on very boring things. That will free up so much creativity and time for scientists to then push theories and see what we can do. Science could progress much faster.”
The MIT team will present the details of the new system at the Intelligent Robots and Systems (IROS) conference later this month. Along with Soljacic and Vaidya, project team members include co-lead Seou Choi, Caio Silva, and Shrish Choudhury from MIT, Shiekh Uddin of Nokia Bell Labs, and Sajib Shuvo of Arizona State University.
A city of light
A tabletop optics experiment can resemble a miniature city of densely packed mirrors, lenses, and light sources. Scientists manually arrange and align the various components in precise configurations, then shine light into the experiment. The lenses and mirrors bounce and focus the beam into a desired wavelength, frequency, or intensity that can then be used to probe or manipulate a given material.
“Sometimes this manual setup takes days or months depending on the complexity of the experiment,” Soljacic says. “It’s meticulous work that has to be done again and again for each experiment.”
Most labs do incorporate some level of automation in an optics setup, such as motorized tuners that mechanically turn knobs to precisely angle a mirror.
“These components can automate the most tedious parts of an experiment,” Vaidya notes. “But no one has built a full system that goes from no setup to a completely aligned setup in one tool. That was our goal, to show complete automation through all the steps that go into an optics experiment.”
Auto-tuned optics
The team’s robotic lab centers around a robotic arm with seven moveable joints that is attached to a metallic tabletop. The robot picks and places lenses, mirrors, and other optical components, each of which the researchers installed in its own 3D-printed plastic housing.
The housings are designed such that the robot can easily and safely grip and move each component. The researchers etched the top of each housing with a QR code containing information about the component within the housing (such as whether it is a lens versus a mirror, and its exact dimensions and capabilities). Each housing has a magnetic base that helps stabilize a component once the arm places it down on the metallic tabletop.
The researchers designed a Wi-Fi-enabled “fine-adjustment tool” that clips onto the mount of standard optical components. The motorized tool can be wirelessly controlled to turn a component’s knobs, for instance to angle a mirror.
“The way humans do this tuning is by feel, and based on a lot of intuition,” Vaidya says. “This tool is at least as precise as a human, but in reality it is much more precise.”
The team also installed a pair of cameras over the entire setup that provides a birds-eye view of the tabletop experiment. Finally, they developed a “software stack,” or a set of programs that enables the robot to navigate through every step of setting up and continuously tuning an experiment. These steps include recognizing a specific component, knowing how to safely approach and pick it up, where to move it, and how to avoid collisions with other parts of the experiment along the way.
Finally, they designed a simple virtual user interface to allow an experimenter to remotely direct the robot. For instance, when a user drags the icon for a mirror from one spot to another, and clicks a button to confirm, the robot responds by picking up the actual mirror and placing it down at the corresponding location on the table.
As a demonstration, they directed the robot to assemble various components into a laser cavity. A laser cavity consists of two mirrors arranged on either side of a crystal. When a beam of light is shone into the setup, it pings back and forth between the two mirrors. With each pass, the light also passes through the crystal, which amplifies the light’s intensity, to a point that whatever light escapes, is intense enough to form a laser.
“We wanted to pick a demonstration in optics that’s reasonably challenging,” says co-lead author Seou Choi, a graduate student in electrical engineering and computer science. “This is not something a new trainee could do in an afternoon. It requires a lot of alignment and component experience.”
In the end, the robot successfully built a functional laser cavity by autonomously carrying out 50 maneuvers, all within 30 minutes. When the researchers introduced physical disturbances to the setup, such as randomly moving a component on the table, the system automatically readjusted components to maintain the laser’s intensity.
“Even tiny vibrations or temperature changes can degrade an optics experiment,” Vaidya says. “An autonomous lab could continuously monitor its own performance and repair the alignment before valuable data is lost.”
The researchers envision that robotic labs like theirs could be paired with a nearby library of physical components that another robot could fetch and deliver to a tabletop robot to arrange into an experiment. Such a system could work to build and run experiments, then break them down and set up new ones on demand, or continuously run an experiment that requires active 24/7 monitoring.
“A system like this could help industry test prototypes faster, for everything from cameras and displays to solar cells and AR/VR goggles,” Vaidya says.
For their part, the researchers are applying the new robot lab to test promising carbon-capture materials. By shining light with specific properties at these materials, they can get information about how a material absorbs carbon dioxide.
“Experimental optics is the backbone of many important fields,” Vaidya says. “Our work takes the first step toward optical labs that can operate faster, more reliably, and without manual intervention in a domain that demands extreme precision and diversity of experimental setups.”
This research was supported, in part, by the Korea Foundation for Advanced Studies Overseas PhD Scholarship, the U.S. National Science Foundation, the U.S. Army DEVCOM ARL Army Research Office, Parviz Tayebati, the MIT Undergraduate Research Opportunities Program (UROP), the MIT Generative AI Impact Consortium (MGAIC), and Shell International Exploration and Production Inc.
Faces of MIT: Jay WilcoxsonCombining a background in private law practice with a passion for problem-solving, Wilcoxson supports MIT’s mission and principles through his work as counsel.Jay Wilcoxson, counsel in the MIT Office of General Counsel (OGC), does not shy away from a crisis. In fact, he enjoys navigating uncertainty to steer a conflict toward an outcome that is beneficial to the Institute. Drawing on his background in private law practice and his love for problem-solving, Wilcoxson ensures his work supports MIT's mission and principles.
After attending Boston University School of Law, Wilcoxson joined the Boston law firm Goodwin Procter LLP, specializing in commercial business litigation. While the work was interesting and challenging, there were aspects of law firm life that he didn’t love, and he expected to eventually shift to a role as an in-house lawyer. He had always believed in the mission of higher education, and as universities are complex organizations with many moving parts, he was drawn to the range of issues they present. The challenge was that legal jobs in higher education are rare — people get them and don’t leave.
For several years, Wilcoxson kept his eye on openings and met with general counsels at several universities, who reiterated how competitive these roles can be. One also mentioned something that stuck with him: Being a lawyer in higher education requires a high tolerance for ambiguity, which can be counterintuitive, as legal work is typically focused on applying the law to a set of facts to reach a clear outcome. In 2007, he opened Mass Lawyers Weekly and saw that MIT was looking for a lawyer with a background in litigation and other disputes at his level of seniority, so he applied. He was hired in August of that year as the first new lawyer to join the recently-created OGC. Before the office was established in January 2007, lawyers at MIT were not centralized in one office, but instead spread across several units on campus.
Since joining MIT, Wilcoxson jokes that he is a “reformed litigator” because, unlike in private practice where he was often in court and managing the day-to-day of active lawsuits, much of his work now is focused on avoiding litigation. He works to identify potential friction points and reduce the risk of conflict or legal disputes before they escalate. His work is strategic and collaborative — working with clients across campus to identify and prevent potential areas of conflict and thinking broadly about how a case should be defended and whether there are opportunities to resolve it.
Although Wilcoxson’s practice is very broad, his primary focus is on student life. He works regularly with the Division of Student Life, the Office of the Chancellor, the Office of Graduate Education, and the Institute Discrimination and Harassment Response Office, among other departments, laboratories, centers, and institutes. If an issue comes to the OGC and the client isn’t sure about whom to contact, Wilcoxson and his colleagues confer to ensure that it makes its way to the lawyer best suited to handle it. As he notes, it is not the community’s responsibility to find the right lawyer — the OGC team makes sure each matter lands with the right person.
Wilcoxson credits the team in the OGC for building an office that people want to work with. He believes the community sees him and his colleagues as trusted thought partners and teammates. All members of the MIT community — faculty, staff, and sometimes even students — can reach out for guidance on Institute legal issues. As lawyers, Wilcoxson and his colleagues approach problems differently than engineers, scientists, or those in the humanities, offering a distinct perspective on how to navigate complex issues.
The advice Wilcoxson received before starting his job at MIT, that he would need a high tolerance for ambiguity, turned out to be the best guidance he received, and, to his surprise after 19 years at the Institute, is one of his favorite things about his job. “I really like the uncertainty,” he says. “That’s what makes the job interesting.”
Soundbytes
Q: What about your job brings you the most joy?
A: The relationships I’ve developed. Part of what brought me to MIT is also what keeps me here, the development of deep relationships. There are some people I have talked to every day for almost 20 years. There’s a mutual appreciation for how we help each other move MIT’s agenda forward. Those relationships are important because helping resolve conflicts and disputes affects people’s lives, so the pressure can be high. Having people you know and trust, who have your back, and you have theirs, is what really helps you get through when things are stressful.
Q: How would you describe the community at MIT?
A: There’s no one word to describe it; I get to work with so many different types of people, all bringing different life experiences and expertise. “Quirky” comes to mind. “Brilliant” comes to mind. Ultimately, what draws me most are problem-solvers. I work with many people, but I have one client: MIT. That's easy to say, hard to explain, and really hard to put into practice. On any given day my client is whoever is acting on behalf of MIT. It could be a faculty member, it could be a dean, department head, or vice president, or maybe even a graduate student.
I love MIT and am immensely proud to be part of this amazing institution. I’m not inventing things, I’m not solving the climate crisis, I’m not creating cleaner energy, but I am helping people do that. I hope I can take things off their plates so they can focus on their work.
Q: Are you involved in any other areas of the Institute that are not directly related to your job?
A: What I really try to do is find ways to be part of the community. I go to faculty meetings and lectures, and I’ve brought my family to weekend events. I’m on a lot of committees with students, many of which focus on developing a policy or how to approach an issue that might be the subject of rules or policy. I also often serve on search committees for leadership roles on campus.
My favorite side hustle is being a name reader at Commencement. I’ve been doing it for close to 10 years. We used to have one huge ceremony, where eight of us stood on stage in Killian Court and read the name of every graduate. What’s really cool is that when I read a graduate’s name, they’re handed their actual diploma with their actual name on it, thanks to an incredible effort by the registrar’s office and a large team of volunteers. We used to read all 3,500 names live and we spent a lot of time practicing.
Although Commencement is now broken into smaller ceremonies, we still read names live at the Undergraduate Commencement in Killian Court. Each of us reads about 200 names. It's a fun group of about six of us who have been reading for years, and we all love coming back to do it year after year.
I also was recently asked to serve on the Presidential Committee on Distinguished Fellowships. This is the Institute committee that works with students who are applying for various international scholarships, such as Rhodes and Marshall Scholarships. I’m very excited to work with and mentor these talented students as they pursue these amazing opportunities.
MIT’s Kavli Institute for Astrophysics and Space Research (MKI) is launching a pilot artist-in-residence program to facilitate cross-disciplinary dialogue between art, science, and the public.
MKI is a world-leading institution for research in astrophysics, combining more than 60 years of expertise in space and ground-based instrumentation development with the intellectual energy of MIT’s faculty, research and technical staff, and students in the departments of Aeronautical and Astronautical Engineering; Earth, Atmospheric and Planetary Sciences; and Physics.
During the 2026-27 academic year, internationally acclaimed ultra-contemporary artist Amy Karle will work as the program’s inaugural artist-in-residence alongside MKI researchers to explore the research and processes behind cutting-edge astrophysical discoveries and instrumentation, and to translate this experience into an immersive, multimedia installation available for public display beginning in early 2028. Karle is known for her work as an artist, designer, and researcher whose projects explore how science and technology shape humanity, evolution, and the future across scales and systems, from cells to cosmos.
“We are excited to work with Amy in this collaborative environment” says MKI Director Robert Simcoe, the Bruno B. Rossi Professor of Experimental Physics at MIT. “Her approach is unlike anything we have previously experienced at MKI and presents many opportunities to challenge the way we, as scientists and engineers, think about our study of the universe. At the same time, the resulting artwork will be shaped by the deep research we do, and the wide-ranging scientific and technical perspectives of the MKI community.”
Karle’s proposal, which envisions astrophysical research and data as a co-creative experience toward embodied understanding of cosmic phenomena and touches on themes of scientific observation, signals, and inference, was selected by an interdisciplinary committee of astronomers, museum curators, and art-science practitioners. Reviewers praised Karle’s ambitious-yet-grounded approach to engagement, her attention to audience experience, her unique approach to science communication through art and technology, and the collaborative potential of her artistic vision.
“I am thrilled to be partnering with MKI,” says Karle, whose practice over the years has included dedicated art-science collaborations with Copernicus Science Centre, the Interstellar Foundation, and Studio Quantum, as well as multiple installations for museums, festivals, and public spaces across the globe. “My first job was at a public observatory. I still remember showing strangers Saturn’s rings through a telescope and watching awe and understanding arrive as felt experience. That has shaped my work since. What MKI does at the frontier of astrophysics, translating faint signals into knowledge through instruments, computation, and human judgment, is a profound expression of that same process. I am excited to be in dialogue with that work and with MKI scientists to create art that makes this tangible and deeply felt, inviting people into the threshold where our ways of knowing the universe reshape how we understand ourselves.”
The residency begins with a one-month exploratory period in the fall semester, centered on meetings with MKI researchers, attendance at seminars and classes, and a public presentation to the MKI community. The project will then move from conceptualization to development, shaped through continued exchange with MKI researchers and complementary independent work in Karle’s California studio throughout 2027.
In March, Karle and selected scientific collaborators will be in residence at the Studios at MASS MoCA, a national and international residency program embedded within one of the world’s largest and liveliest museums dedicated to contemporary art. During their time in residence, Karle and collaborators will test ideas, exchange knowledge, and engage with a multidisciplinary cohort of 16 other artists from across the globe.
“MASS MoCA [the Massachusetts Museum of Contemporary Art] is pleased to be part of MKI’s artist-in-residence program and to contribute to the meaningful exchange between art and science,” says Susan Cross, MASS MoCA director of curatorial affairs. “We look forward to welcoming artist Amy Karle and collaborators from MIT’s Kavli Institute for Astrophysics and Space Research to our campus, and to the Studios at MASS MoCA.”
The residency is supported by the Kavli Foundation’s Kavli Innovation Fund. The initiative seeks to develop new modes of public engagement with astrophysical research and discovery, and deepen emotional connections across the interplay of science and art.
“We are grateful for the Kavli Foundation’s support,” says Simcoe, “as it allows us to push boundaries and engage new audiences in the wonder of the universe and the process of science.”
Karle’s work has been exhibited internationally at institutions including Centre Pompidou, Mori Art Museum, the Smithsonian Institution, the Museum of Modern Art, Ars Electronica, ArtScience Museum, Triennale Milano, and the Victoria and Albert Museum, with works on the moon and in space. She collaborates with and presents at scientific, technological, and cultural institutions including NASA, CERN, SLAC National Accelerator Laboratory, Autodesk, HP Labs, and NVIDIA.
She was honored as one of BBC’s 100 Most Inspiring and Influential Women, a Pioneer in Design, and one of the Most Influential Women in 3D Printing. Karle also served as an American Arts Incubator U.S. Department of State artist diplomat. Her first job was at a public observatory, where she began asking fundamental questions about space and witnessing the wonder it can awaken in people, an early experience that continues to inspire her to create works that allow people to feel how we come to know the universe and our place within it.
To learn more about Karle's work, visit amykarle.com. As the project develops, MKI will be seeking museum and festival partners to host the installation in 2028 and beyond.
Nanoscale mechanics could enable brain-inspired computingA new device uses reconfigurable motion to mimic the firing behavior of a neuron, which could lead to more efficient computing.MIT researchers have created a new computing platform that could be used to develop intelligent and adaptive next-generation electronics that can simultaneously perform multiple functions, like computing and memory, all within one extremely compact, energy-efficient device.
Such a platform opens opportunities for low-power edge computing applications, interactive medical and environmental monitoring systems, and smart robots.
The researchers accomplished this by leveraging the unique mechanical response of soft polymers at the nanoscale. A mechanical response is how a structure changes when a force is applied to it.
They harnessed this response to create tiny mechanical devices that use reconfigurable motion to remember and process information in a way that mimics how neurons behave in the brain.
Because key computing functions are built into the intrinsic properties of the soft polymer material, the number of components needed to perform the functions are minimized, enabling a compact and versatile platform for information processing.
“Complex and coupled nanoscale phenomena can provide tremendous opportunities for new approaches to information processing and integrating multiple functionalities, such as computing, sensing, and actuation. This could enable levels of energy efficiency, autonomy, and reconfigurability in nanoscale devices and systems that are challenging to achieve with conventional computing platforms,” says Farnaz Niroui, an associate professor of electrical engineering and computer science (EECS), a member of the Research Laboratory of Electronics (RLE), and senior author of a paper on this device. “Here, we harness the intrinsic mechanical properties of materials to engineer device-level dynamics, such that the material building blocks play a much more active role in defining device functionality than conventionally considered.”
She is joined on the paper by co-lead authors Peter Satterthwaite and Sarah Spector, EECS graduate students; as well as Jeremiah Johnson, the A. Thomas Guertin Professor of Chemistry at MIT; Maxwell Conte, a graduate student in the Department of Materials Science and Engineering; Teddy Hsieh, an EECS graduate student; postdoc Eduard Bobylev; and Srinidhi Venkatesh ’25. The research appears today in Science Advances.
Bioinspired computation
Biological systems can leverage physical changes, like motion or deformation, to process information efficiently and without needing access to a central controller.
For instance, an octopus has a highly distributed nervous systems, with about two-thirds of its neurons spread throughout its arms. This allows the octopus to sense and process information about its environment locally and generate responses without requiring access to the central brain.
As an example, an octopus can mechanically change the color cells in its skin, enabling it to go through a rapid and context-specific camouflage process.
“You can think of an octopus as continuous computing matter, with computing, memory, sensing, and actuation distributed throughout its body,” Niroui adds.
Inspired by such performance, the researchers sought to develop a platform that can compute using mechanical transformations at the nanoscale. In mechanical computing, calculations are performed through physical transformations like movement and compression.
While bioinspired mechanical computing platforms have been developed at the micro and macro scales, the MIT researchers shrunk their device to the nanoscale. At this scale, even minute mechanical transformations can lead to drastic changes in a material’s properties. This can enable complex computing in an energy-efficient platform.
But achieving the reversible nanomechanical transformations needed for such computing is a fundamental challenge. When two surfaces come very close, they experience strong adhesive forces that pull the surfaces together, making them impossible to unstick.
To overcome this fundamental challenge, the researchers built a device with a super-thin film of the soft polymer polydimethylsiloxane (PDMS) sandwiched between two metal electrodes. This soft spacer balances the adhesive forces between the two metal surfaces, keeping the electrodes from crashing together in an irreversible way.
“The soft material serves as a ‘nano-spring,’ to help balance the forces to achieve nanoscale mechanical reconfiguration in a controlled and reversible manner,” Niroui explains.
When the researchers apply a voltage to the device, the two metal plates attract to one another, compressing the soft material and altering the electrical current flowing through the device.
“PDMS is viscoelastic, which means that after being compressed, it takes time to return to its original state. This allows the devices to dynamically remember the history of forces and voltages applied to them, and convert that history into an electrical response,” says Satterthwaite.
They researchers used this performance to demonstrate an artificial neuron.
Brain-inspired information processing
In the brain, each neuron accumulates an electrical charge a little bit at a time until it reaches a threshold and fires, passing information to other neurons in the network.
The researchers’ device mirrors this behavior. As voltage is applied over time, it accumulates stimulus as the electrodes gradually compress the PDMS. After crossing a threshold, it “fires” like a neuron before relaxing back to its original state.
“We have this complex functionality, which is the basis of biological computing, all contained in one nanoscale device,” Satterthwaite says.
Since computing and memory are incorporated within a single device with no need for external components, like capacitors or complex circuitry, this platform can achieve high energy efficiency with a small footprint.
“The performance highly relies on the memory introduced using the soft polymer. We can intentionally engineer this over a large design space to meet the requirements of the desired applications,” Spector says.
The device can also be compatible with biological systems, Spector adds. For instance, it could be useful in applications like smart prosthetics that can rapidly process tactile data or low-power wearable patches that collect and analyze health indicators in real-time.
In the future, the researchers want to expand this work to further integrate sensing with computing and memory to realize nanomechanical computing matter with applications in intelligent and adaptive systems.
This work was funded, in part, by the U.S. Defense Advanced Research Projects Agency (DARPA), the U.S. National Science Foundation (NSF), an MIT EECS MathWorks Fellowship, and the Netherlands Organization for Scientific Research. Device fabrication was carried out, in part, using MIT.nano facilities.
New AI technique could make minimally invasive surgeries safer and more preciseThis patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.Researchers created a new technique that accurately and rapidly matches X-rays captured during surgery with a patient’s preoperative 3D medical scan. This method could make it easier for clinicians to precisely pilot minimally invasive surgical tools, leading to faster and safer procedures.
Clinicians perform many minimally invasive surgeries using real-time X-rays to help them steer devices like catheters and endoscopes through tiny incisions. But since X-rays are flat images, it can be challenging to determine exactly where surgical tools are located and oriented within the patient’s body, increasing the risk of complications.
To help localize surgical devices, clinicians may manually align X-rays with preoperative 3D medical images, such as CT scans or MRIs. Artificial intelligence tools designed to streamline this process struggle to align images robustly for all patients, making them infeasible in practice.
This new system, developed by scientists and clinicians at MIT and collaborating institutions, uses an AI model that adapts to each patient in only about five minutes. The model automatically matches one patient’s X-rays with 3D scans in a matter of seconds, and with sub-millimeter precision.
Named xvr (which stands for X-ray volume registration), it outperformed existing AI methods by an order of magnitude across a wide range of patients, body parts, and medical procedures.
“A majority of Americans live more than an hour away from a center that can perform noninvasive procedures, like emergency stroke interventions. An hour in stroke time is incredibly substantial. Making these procedures easier by combining 2D and 3D information enables these types of highly specialized life-saving procedures to be more accessible to much broader parts of the population,” says Vivek Gopalakrishnan, a postdoc in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL); a recent graduate of the Harvard-MIT Program in Health Sciences and Technology; and lead author of a paper on xvr, which appears today in Nature.
He is joined on the paper by his advisor Polina Golland, the Sunlin and Priscilla Chou Professor of Electrical Engineering and Computer Science (EECS), a principal investigator in CSAIL, the leader of the Medical Vision Group, and co-senior author of the paper; and Neel Dey, a former postdoc in the Medical Vision Group who is now an investigator at Harvard Medical School and Massachusetts General Hospital as well as co-senior author on the paper. Additional co-authors include David-Dimitris Chlorogiannis, a researcher and clinician at Harvard Medical School; Andrew Abumoussa, a neurosurgeon at St. Luke’s Marion Bloch Neuroscience Institute; Anna M. Larson, a pediatric clinician at Shriners Children’s Hospital; Nazim Haouchine, an assistant professor of radiology at Harvard and Brigham and Women’s Hospital; Darren B. Orbach, a physician and scientist at Boston Children’s Hospital; and Sarah Frisken, an associate professor of radiology at Harvard.
Making X-rays more informative
In many minimally invasive surgical procedures, like angioplasty to open blocked arteries, clinicians insert instruments through a tiny incision and use a high-speed mobile X-ray scanner to generate images that allow them to visualize the procedure from any angle.
But to guide surgical tools without accidentally damaging other tissue, clinicians must align real-time X-rays with the patient’s preoperative MRI or CT scan. This process, called registration, helps them determine where the tool is in relation to anatomical structures.
“It takes decades of training for a clinician to become skilled enough to see grainy, 2D images and understand how everything is oriented. We want to make these 2D X-rays more informative, so it becomes safer and easier to do these life-saving procedures,” Gopalakrishnan says.
Manual registration methods are slow and burdensome, requiring the clinician to guess the position of a surgical instrument by punching numbers into a computer or clicking anatomical landmarks on a screen.
To streamline the process, researchers are developing AI models that can predict 2D/3D registration. But people have such diverse anatomy that a model which works well for some patients may fail for others.
A lack of high-quality annotated medical image data makes it difficult to train a deep-learning model robust enough to adapt to many patients, Gopalakrishnan says.
Rather than trying to make a machine-learning model that can be applied to all patients, the researchers built a model designed to adapt extremely well for the specific patient.
“We tailor this one specific model for this one specific patient, and it doesn’t matter if it works on other people because there will be different models for those people,” Gopalakrishnan adds.
Patient-specific machine learning
Xvr takes one patient’s preoperative 3D scan, like an MRI or CT, and uses it to generate thousands of synthetic X-rays from many angles, producing about 1,000 images each second. It uses a physics-based simulation of the X-ray process to ensure these synthetic images are realistic.
“Instead of generating data from nothing, like some types of generative AI, this physics simulation is entirely based on the CT scan or MRI from this patient. Because xvr creates patient-specific data in a purely physics-based manner, there is no room for hallucinations,” Gopalakrishnan says.
The xvr framework uses these simulated data to train an AI model that can accurately align this patient’s 2D X-rays with their 3D image scan in a matter of seconds.
But while such a registration model is highly accurate, it would take about 12 hours to train from scratch for each patient, making it impossible to deploy in an emergency. To make the process faster, the researchers used xvr to pretrain a more versatile AI system, called a foundation model, that can quickly adjust to each new patient.
They collected whole-body 3D medical scans from more than 2,000 patients covering a wide range of ages, image modalities, and regions. Xvr used these diverse data to generate synthetic X-rays and train a foundation model to perform 2D/3D registration.
This pretrained model can adapt to a new patient in about five minutes, and performs registration with the same accuracy as if it had been trained from scratch.
“So now you can get patient-specific accuracy but also in a very rapid time frame,” Gopalakrishnan says.
The team tested the model on the largest available dataset of real 2D/3D registrations, incorporating data from five hospitals that covered dozens of bones and organ systems in adult and pediatric patients.
Xvr significantly outperformed other AI-based methods in accuracy and robustness, while operating fast enough for emergency surgeries. The model could also be used to improve the performance of robotic surgery technologies.
In the future, the researchers hope to focus on making xvr faster for real-time deployment, conducting further studies to verify its reliability in additional situations, and extending the system to handle more complex scenarios, like moving body parts.
“For the past two years, we’ve been carefully developing this algorithm and validating it. Now, we are collaborating closely with surgical robotics companies and clinical groups to turn this research into useful tools for navigation or deployment,” Gopalakrishnan says.
This work was funded, in part, but the National Institutes of Health (NIH), the MIT CSAIL-Wistron Program, the MIT-IBM Computing Research Lab, the MIT Jameel Clinic, the MIT Health and Life Sciences Collaborative, and the Chou Family Transformative Research Fund.
MIT startups inspire with impressive presentations at Demo Day 2026The event featured ventures solving problems in manufacturing, cybersecurity, health care spending, and more.The annual “Demo Day” event at MIT, which marks the end of the delta v startup accelerator, fell on the 25th anniversary of the Sept. 11 attacks this year, giving MIT entrepreneurs a chance to honor the memory of those lost that day while presenting their startup progress in the program.
Each year, the event celebrates all that students achieved while working full-time on their ventures over the summer with support and guidance from the Martin Trust Center for MIT Entrepreneurship.
But the usually boisterous night started with the program’s military veterans asking for a moment of silence.
“Today is a day of remembrance, but also a day of celebration,” founder and MIT graduate student Kevin Power MAP ’25 told the audience in opening remarks. “It’s about building to create a better world. Today, we honor those lost the way we believe they would want: by being humble, taking care of each other, and building something worthy of the people who never had this chance. In this room, people are taking on the hardest problems in health care, cybersecurity, defense, robotics, and manufacturing.”
Now in its 15th year, delta v Demo Day gives MIT entrepreneurs a chance to share their work and inspire classmates to adopt the entrepreneurial mindset. The companies that presented were whittled down from an initial list of over 200, twice the amount that applied in 2025.
Across a whirlwind 90 minutes inside a jam-packed Kresge Auditorium, 13 teams presented their startups to the audience in two-minute presentations. Many shared business milestones and progress in line with what a typical company would achieve over multiple years, including customer partnerships, prototype deployments, and even revenue.
Each team received mentorship and support along with $75,000 in equity-free funding, a dramatic increase from years past. This year’s cohort featured undergraduates, graduate students, and postdocs, from across all of MIT’s schools.
“One of the things I love about delta v is it brings students from all across our community together to approach challenges with different perspectives,” Paula Hammond, dean of the MIT School of Engineering, told the audience. “Their companies are just as wide-ranging. They are working in AI, robotics, health care, aerospace, financial technology, biotech, cybersecurity, and more. At their core, they all share a desire to tackle difficult problems and improve people’s lives.”
This year the Trust Center also announced a new partner model for the delta v program, composed of over 125 leading founders from companies like HubSpot, Okta, and Kayak, along with industry experts and early-stage investors.
The event’s occurrence at the start of the semester is no coincidence: It is timed to attract the next generation of entrepreneurs on campus.
“This is my favorite day of the year,” said Bill Aulet, the managing director of the Trust Center and MIT’s Ethernet Inventors Professor of the Practice at the MIT Sloan School of Management. “Today is about building organizations that will solve the world’s most intractable problems. It’s about more than making money. These presentations will inspire you and make you proud to be a part of the MIT community.”
Artificial intelligence featured prominently in this year’s cohort of companies, which are applying the technology to solve major problems in cybersecurity and manufacturing, improve health care spending, design advanced metal parts, and more.
The company Neural Physics, for instance, is building AI models for manufacturing and other hardware applications. The company’s models are designed to accelerate product design and validation workflows for companies building things like cars, equipment, and machine parts.
“AI can build software overnight,” said co-founder and PhD candidate Mohamed Elrefaie. “AI for software has been solved. The next revolution is physical AI. Design takes too long, and it costs billions. In 1907, it took Henry Ford five years to develop the first Ford car model. Today, it still takes the Ford Motor Company five years to go from design to production. The U.S. advanced manufacturing sector loses roughly $245 billion annually due to engineer delays… [Most] of that time is spent running simulations or making engineering decisions. At Neural Physics, we are building foundation physics models to accelerate those processes.”
Another company, Cerebrus AI, has built a system for detecting when AI agents deviate from approved behavior. The solution builds a baseline of behavior for each deployed agent and monitors their activity to flag unusual behavior that could lead to problems.
“The rollout of revolutionary technology is being held up by three key questions that every executive is asking: Where are my agents? What are they doing? What do they have access to?” co-founder and MBA student Griffin Potrock said. “Security teams want to say yes, but they can’t trust what they can’t see. Cerebrus AI can help those teams.”
The company Talys uses AI agents to help health care organizations find opportunities to lower spending on things like pharmacies, operational processes, and third-party services. The company is already working with health systems and has processed $325 million in spending.
“Decades of attempts to reign in health care spending have fallen short — until now,” co-founder and MBA student Nicolas Berzin said “Why is it so hard? Analytics and dashboards give you pictures of the problem, but not the solution. Meanwhile, consultants are slow and expensive. There are thousands of spend categories, tens of thousands of procedures, and millions of items. Who knows how to save on all of these things? Imagine if you could classify every line, benchmark every item, find every substitution, triage every unprofitable case, and model every scenario across multiple contracts and thousands of procedures and categories like an expert. Talys is a margin-execution system that runs 24/7 to optimize procurement, reduce leakage, and improve case economics.”
Other delta v teams also presented impressive hardware solutions. RBT Resources presented a portable device that simplifies and speeds up blood transfusions, which could be used in hospitals and at the site of traumatic injuries like highways or battlefields.
“Transfusion at the point of injury is an extremely manual process with three key inefficiencies: They are time dependent, gravity dependent, and labor intensive,” explained CEO Anthony Capuano MBA ’26, a former U.S. Navy Seal. “Our goal at RBT Resources is to make transfusions faster and simpler for all medics.”
Gander Robotics developed a low-cost drone submarine that can be used when someone falls overboard on a ship. The hand-thrown, autonomous vessel can sense and travel to the person at sea and give them something to hold onto at the surface, all while providing rescue crews with its exact location.
So-called “man-overboard” situations are surprisingly common on military boats and cruise ships. The device was developed over two years at MIT and the Woods Hole Oceanographic Institute. “Our autonomous rescue swimmer uses a proprietary technique to search with sonar from underneath the surface, where it’s nice and calm even if there’s a storm raging above,” CEO Michael Autery MBA ’26 explained.
The other teams presenting included:
Alpaca is building an integrated ecosystem of hardware and software to allow individuals to host their own frontier AI models without a subscription.
Banzai is building an AI-powered agent to help homeowners, property managers, and asset managers diagnose home repairs faster, improve repair accuracy, and reduce maintenance costs.
Bizon Labs is building a platform for engineering lipid nanoparticles to deliver advanced medicine anywhere in the body.
Cortheon uses AI design optimization to help foundries make complex metal parts at lower cost and with the design freedom of 3D printing.
Exo AI is helping financial institutions automate back-office processes using AI-native software capable of analyzing messy data and connecting fragmented workflows.
Pixology is using agentic AI to help sales teams create visual, engaging pitch materials faster for media rights deals.
Robox is using AI to develop a design engine for physical automation inside systems integrators, robotics firms, and manufacturers.
The Trade Lab is helping importers navigate shifting tariff regulations across the globe and optimize supply chains.
Measure by measure, studying society accuratelyNaoki Egami has become a standout in political methodology, helping refine tools that give scholars durable results.Let’s agree at the outset the world is a complicated place, and social scientists have exacting jobs when it comes to measuring civic phenomena with precision.
After all, even careful studies raise follow-up questions: How much do their findings apply in other settings? Do conclusions about politics in one country apply to other countries? If you’re studying voters in a lopsided election, will your findings apply to voters in a close election? Those questions are all a natural part of the research process.
That’s where Naoki Egami comes in. Egami is an MIT political scientist whose specialty is the methodology of research. He carefully scrutinizes, for one thing, what social scientists call “external validity,” whether the results of particular studies apply more generally.
“I always say political methodology is the field where you ask questions as a political scientist, but then you solve them like an applied statistician or an applied computer scientist,” Egami says. “You find out the underlying mathematical problems behind the empirical challenges people face, and solve them optimally.”
As it happens, Egami’s interests range widely. Years ago, before the current artificial intelligence craze, he started studying what happens when AI tools are introduced into studies. How accurate are they? How can researchers account for AI tendencies? Focusing on these and other questions has helped Egami build a broad portfolio of research, win awards, and flourish in his career. All the while, he retains interest in basic questions about politics, as well as measuring things correctly.
“You need both perspectives,” Egami says. “If you only think about technical statistical theories, you might not work on interesting empirical problems sometimes. But if you only think about problems, you won’t really solve them optimally; you’ll solve them in an ad-hoc way. So, you really want to have both lenses.”
Egami joined MIT’s Department of Political Science as an associate professor with tenure in 2025. He is also a faculty affiliate of the Statistics and Data Science Center at the Institute for Data, Systems, and Society (IDSS).
Workshopping his career
Almost anyone who likes their job has experienced some good fortune in finding it. Egami’s case calls to mind those adages about luck being a mixture of preparation and opportunity.
Egami grew up in Tokyo and attended the University of Tokyo. He was good at math and physics, but he also liked political philosophy and was unsure how to combine his interests. One day, Egami attended a workshop about U.S. graduate school, which he thought was about MBA programs. Actually, it was about PhD programs, and included a political scientist talking about using math in the field, so Egami asked her a question.
“The miracle is: That workshop had 200 people in it, and after it was done, I was packing my stuff to go home, and the panelist, who was a PhD student, came down from the stage and found me,” Egami recalls. “She asked, ‘Are you the one who said you’re interested in political science in the U.S., and likes math?’”
She invited Egami to what he thought would be another career workshop, the following week. Once again, he was mistaken.
“I showed up, and it was an academic seminar,” Egami continues. “There were only 20 people there. It was 19 professors, and me, a first-year undergrad.” Then a professor named Kosuke Imai, now at Harvard University, gave a talk about his own research on using statistics in the social sciences.
“I was super-excited and felt if I could do even 20 percent of that, it would be a dream,” Egami says. “I talked to Kosuke and said, ‘I want to do what you’re doing.’ He probably thought I was just a random person.”
Egami, thus bolstered, started pursuing the goal of becoming a political scientist. He received his BA after spending a year as an exchange student at the University of Michigan, and applied to graduate schools in the U.S., landing at Princeton University — where Imai eventually became one of his advisors. Working with Imai, Rafaela Dancygier, Brandon Stewart, and others, Egami generated papers on methodological topics like external validity — and found substantial interest when he presented them.
“That was a case where the audience or market told me what I should really work on,” Egami says. After earning his PhD from Princeton in 2020, he joined the faculty at Columbia University, moving to MIT five years later.
Enjoying the spirit of MIT
One of the hallmarks of Egami’s work is very close scrutiny of the factors that can influence the results found in empirical studies.
“In statistics, you talk about whether the people in the data are similar, meaning the population data,” Egami says. “But in political science, there are a lot of differences in context.”
Consider the question of how much political campaigns sway the minds of voters. Political scientists have sometimes received permission to conduct field experiments in active political campaigns. That’s a significant step toward generating robust results. And yet, not all campaign settings are the same. Politicians may let researchers in when they expect to triumph, and the dynamics in those races might differ from close races.
“It’s great to do field experiments, and that’s usually where people are allowed to do research,” Egami says. “It’s where politicians know they can win. But most of the time, we’re interested in the battlefield races, the politically competitive districts. And the logic and voter behaviors can be different in those cases.”
Egami’s job, on one level, is to spot such differences and make other researchers aware of them.
Meanwhile, he has also developed a strong interest in scrutinizing the tools of machine learning, as applied to the social sciences. This predates the elevated interested in AI generated by ChatGPT, starting in late 2022. Some of Egami’s work explores how to systematically identify errors introduced by AI tools and then account for this issue when using AI in research.
“In the past, social science data is something we carefully collect and take a long time to really validate before we analyze it,” Egami says. “But if the generation of data is changing. If people use AI to generate data at scale, it can have errors. So I was already thinking: You want to have statistical methods that take into account these errors, otherwise many of the analyses will not be able to be replicated. That’s how I started to work on a lot of things about AI.”
All of this has brought Egami recognition and honors in the field. Last year, he received the Emerging Scholar Award from the Society for Political Methodology. He has also been the recipient of best paper awards from the American Political Science Association’s sections for political methodology (in 2019 and 2025), experimental research (in 2024), and political networks (in 2022). Earning awards in three subfields of the discipline speaks to Egami’s scholarly versatility.
In his view, though, the work he does in different areas is ultimately aligned.
“All these things are in parallel,” Egami says. “I’m trying to start a new research agenda every three to four years. That helps me learn new topics and be motivated.”
Further motivation, he says, comes from being at MIT and liking the experience.
“I already knew MIT was an amazing place I would enjoy,” Egami says. Even so, in his time at MIT, he says, he has gained even more appreciation for the “spirit of engineering,” in the sense of working systematically on solutions to ongoing problems, among other things. In any case, Egami has found the Institute to be a stimulating and congenial place to do his work.
“People are really nice at MIT,” says Egami, who has been teaching both undergraduate and graduate classes.
He adds: “The Department of Political Science is really high-functioning, people are intensive in terms of their work, but it’s just genuinely nice people.”
And, yes, that’s one claim about the world Egami does not have to double-check.
MIT makes progress on campus climate goalsInnovative strategies, technologies, and collaborations are helping MIT advance solutions on campus and beyond.In 2021, MIT set campus decarbonization goals as part of its Fast Forward climate action plan. Five years later, many of those goals have been met or are on track for completion, including efforts to make the Institute’s buildings more efficient, expand rooftop solar installations, and attain net-zero emissions.
“Decarbonizing our campus goes hand-in-hand with MIT’s playing a leadership role in promoting carbon reduction and climate resilience through its research, innovation, and efforts to inform public policy in this area,” says Glen Shor, executive vice president and treasurer. “Our teams are leveraging that same innovative spirit to meet our campus climate goals.”
Creating an energy-efficient campus
Over the past decade, the Institute has decreased energy use per square foot by more than 10 percent, even as the campus has grown and research activity has intensified. Rooftop solar power generation has increased by more than five times in the same period, with installations added to the Stratton Student Center (Building W20), the Dewey Library (Building E53), the New Vassar undergraduate residence hall (Building W46), Graduate Junction (Buildings W87 and W88), and the theater arts building (Building W97). Thirty-three MIT building projects have earned Leadership in Energy and Environmental Design (LEED) certification. And in May, the Tina and Hamid Moghadam Building (Building 55) became MIT’s first Living Future Zero Carbon Certified building.
“We’ve completed more than 300 energy-efficiency projects across campus, focusing on our most energy-intensive research buildings, and ultimately touching nearly every corner of MIT,” notes Joe Higgins, vice president for campus services and stewardship.
Case in point: Building 46, home to the Brain and Cognitive Sciences Complex, and the Metropolitan Storage Warehouse (Building W41), newly home to the School of Architecture and Planning.
Building 46 was identified as one of MIT’s biggest energy users and the building with the greatest carbon-reduction potential. In 2024, the Institute completed a lab-by-lab renovation and improved Building 46’s mechanical systems infrastructure. The result: a 35 percent reduction in building energy use and carbon emissions — roughly a 2 percent reduction in overall campus emissions.
The newly renovated Met Warehouse, which opened in August, features an innovative heat-recovery system, capturing heat rejected from the campus cooling system and using electric heat pumps to generate heat for the building. Higgins says the system will help inform the design of larger, campus-level heat-recovery systems.
Since 2014, 101 of the 168 buildings on MIT’s Main Campus have undergone energy-efficiency upgrades. The Institute’s 2030 Capital Plan will continue to invest in projects to reduce energy consumption and make efficiency upgrades a core element of all comprehensive building renewal projects. Examples of new projects include further optimizing heat-recovery systems; deploying more sophisticated controls to better manage ventilation, heating, and cooling; and using artificial intelligence to set classroom and office temperatures based on weather forecasts, occupancy patterns, and the forecasted carbon intensity of the regional power grid.
The renovation of Building 39, which is set to be home to a next-generation quantum research laboratory, will incorporate energy-saving features and technologies, including advanced insulation and windows, a smart ventilation system, LED lighting with automatic controls, and heat-recovery systems to maximize efficiency. These integrated systems are projected to dramatically reduce energy use and carbon emissions — cutting them by approximately 70–80 percent relative to the existing building baseline.
Similarly, the McCormick Hall (Building W4) undergraduate residence hall renovation, which began this summer and is expected to be ready for students by the fall 2028 semester, will add high-performance windows, LED lighting, ventilation energy recovery, and low-flow plumbing fixtures. The project will use low-carbon flooring, improve stormwater management, and enhance the courtyard with native plantings, which require less water and maintenance while supporting local biodiversity.
On the path to net zero
MIT’s decarbonization efforts extend well beyond its campus. In recent years, the Institute has entered collaborations to create several large-scale renewable energy projects in regions of the United States where electric grids are still heavily reliant on fossil fuels. Together, these projects avoid over 200,000 tons of carbon dioxide per year, about equal to MIT’s annual direct campus emissions.
“These projects, within a very short window of time, have had a significant impact on reducing emissions,” says Higgins. “They also put us on track to reach our net-zero target this year.”
The first of these projects, the Summit Farms 60-megawatt solar farm in North Carolina, went online in 2016. Big Elm Solar in Texas, a 200 MW facility, followed in 2024, and Bowman Wind, a 208 MW wind farm in North Dakota, began operation in December 2025. Together, Big Elm and Bowman represent a landmark collaboration between MIT and 11 Massachusetts nonprofit and public sector organizations, including the City of Cambridge.
“It’s a new market model that allows smaller organizations and government agencies to achieve greater reductions in carbon emissions that wouldn’t be possible on their own,” says Julie Newman, MIT director of sustainability.
To capture the broader benefits of these projects, the Office of Sustainability worked with Institute researchers to develop a framework that assesses not only avoided emissions, but also economic and health outcomes. The team found that the projects generate economic benefits comparable to 7,000 one-year construction jobs and 189 maintenance jobs over 20 years. The projects’ annual health benefits are equivalent to 640 people quitting smoking for life, or nearly 200 premature deaths avoided each year for 20 years.
“Greener power sources are one of the building blocks we need to decarbonize our cities and campuses for the long run,” says Higgins. “That’s why we have made decarbonizing regional electricity grids a priority.”
The building blocks of campus decarbonization
To fully decarbonize MIT’s campus, the Institute will need to significantly change how it produces and distributes energy.
Currently, MIT’s Central Utilities Plant (CUP) burns natural gas to create electricity and steam-based heat, while also getting a small amount of electricity from the power grid. Electricity, heat, and air conditioning are distributed to campus buildings through a network of underground power lines and pipes.
To move away from burning natural gas, and to take advantage of electricity from a greening grid for making heat, MIT is exploring creating a large-scale electric heat pump plant adjacent to the CUP on Vassar Street. The plant, a key building block for a long-term campus decarbonization strategy, will produce hot water and distribute it to campus buildings through a hot water-based heating system.
“We’re starting the design process now, and in the coming year, we should know more about the scale and phasing of the heat pump plant we would construct, how it would interface with our existing district energy system, and the implementation timetable,” says Vasso Mathes, senior campus planner in the Office of Campus Planning, who is the campus decarbonization program manager. The heat pump plant will aim to recapture waste heat from existing cooling systems, supplying source energy to meet 30 to 40 percent of campus heating needs.
Another critical building block is transitioning MIT’s existing steam-based infrastructure to a hot-water system. That work — already underway — includes replacing steam distribution pipes to buildings with more efficient, easier-to-maintain hot-water pipes and converting buildings from steam to hot-water heat.
The third building block of a campus decarbonization strategy will be MIT’s ability to rely on the power grid for electricity instead of the CUP. “The electricity generated by the CUP is 15 to 20 percent lower in carbon emissions than the New England grid,” says Mathes. “We expect this to change over time as more and more renewables are added to the grid.” Even then, the CUP would be maintained as a backup system for use during peak heating and cooling days and grid stress events.
Finally, “the fourth building block is to go bigger, and look at shared infrastructure and coordinated planning with neighboring institutions and municipal partners,” says Higgins.
In that vein, earlier this year MIT became an anchor institution in the BosTEN Project, a year-long study to explore the feasibility of creating what could become the first city-scale thermal network in the United States. The network would help decrease the carbon footprints of major buildings across Boston and Cambridge, Massachusetts, by harnessing heat from the soil and rock under the Charles River and Boston Harbor, as well as waste heat from buildings and industrial facilities. It would also provide a renewable source of energy that can stabilize and even reduce the costs to heat and cool buildings.
“We’re thinking through how we can not only decarbonize our campus, but also how to use our work as a catalyst for broader strategies and technologies that others could readily employ,” Higgins says. “The unit of change needs to be at the city scale.”
New method enables AI for safety-critical situationsThe “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.MIT researchers have developed a new technique that helps generative artificial intelligence models find solutions to high-stakes problems.
In these settings, a plausible answer is not enough: The output often must also satisfy nonnegotiable safety, physical, or task-specific requirements, known as hard constraints.
The researchers developed a method that helps generative models meet these strict requirements without sacrificing the quality of their outputs.
The key to their technique is to give the model more freedom during the generation process and enforce hard constraints on the final output, rather than at every intermediate step.
In experiments spanning robotics, control of physical processes, and computer vision, the new method consistently satisfied the required constraints while identifying better solutions than existing techniques.
This adaptable, plug-and-play technique works at deployment time, so it can be applied to pretrained generative models without retraining them. It can make such models more useful in applications where safety rules, physical laws, or other strict requirements cannot be violated.
“The promise of generative AI is its ability to explore a rich space of possibilities, but the real world places boundaries on which possibilities are acceptable. Our approach lets us preserve that generative power while enforcing the nonnegotiable requirements of high-stakes or safety-critical applications,” says Navid Azizan, the Alfred H. and Jean M. Hayes Career Development Associate Professor in the Department of Mechanical Engineering and the Institute for Data, Systems, and Society (IDSS), a principal investigator of the Laboratory for Information and Decision Systems (LIDS), and the senior author of a paper on this technique.
Azizan is joined on the paper by lead author Zeyang Li, a graduate student in mechanical engineering and LIDS; and Kaveh Alim, a graduate student in IDSS and LIDS. The research appears this week in the IEEE Transactions on Pattern Analysis and Machine Intelligence.
Freedom to explore
Pretrained generative AI models, such as diffusion models like Stable Diffusion and flow-matching models like FLUX, are now widely available. These powerful models learn to create new data by transforming random noise. Their availability has enabled people to adapt them to a wide range of applications.
These highly capable models excel at providing answers that come close to satisfying most queries, but in safety-critical applications like robot path planning on a crowded factory floor, an answer that is “nearly correct” may not be good enough.
For instance, a “nearly correct” path from one machine to another might still result in the robot colliding with a human co-worker.
In such safety-critical applications, users often employ a technique called projection-based sampling, which repeatedly forces the model’s partial solutions, called intermediate samples, to satisfy strict requirements during the generation process.
But constraining the entire generation process can prevent the model from reaching a better final solution. These methods also typically focus only on satisfying the hard constraints, missing the opportunity to improve other qualities of the solution, like reducing the length of the robot’s trajectory.
“For constraint satisfaction, what ultimately matters is the model’s final output, since the internal process is discarded. By not requiring every intermediate step to satisfy the constraints, we give the model more freedom to find high-quality solutions that are still feasible in the end,” says Li.
The researchers developed an algorithm called HardFlow that steers the sampling process so that the final output satisfies the user’s hard constraints without being overly restrictive and is of higher quality.
Subtle steering
HardFlow reformulates hard-constrained sampling as a trajectory-optimization problem, using tools from the field of optimal control. This enables the framework to steer the model’s sampling trajectory toward a goal, making subtle corrections along the way while enforcing hard constraints on the final output.
“Control theory gives us a powerful framework for formalizing the optimal way of making these corrections,” Azizan says.
But solving the trajectory-optimization problem around an enormous neural network was no easy task. The model may have hundreds of interconnected layers that process data.
To make the problem tractable, the researchers leveraged the structure of flow-matching models to decompose the problem into a sequence of smaller, single-step subproblems. They then applied systematic transformations and approximations to derive an efficient, scalable algorithm that still finds a feasible solution.
“Essentially, we transformed the trajectory-optimization problem into something that preserves the key properties of the original problem, but can be solved very efficiently at deployment time,” Azizan adds.
Reformulating the task as an optimization problem allows HardFlow to incorporate additional goals that can improve the quality of the final answer. For instance, HardFlow could find a collision-free path for a robot that is also the shortest distance to its goal.
“Our framework can jointly handle both aspects, which helps it perform much better than existing methods,” says Li.
Across experiments in robotic manipulation, maze navigation, and text-guided image editing, HardFlow achieved perfect constraint satisfaction while consistently outperforming baseline methods on measures of solution quality.
For example, it enabled a robotic manipulator to avoid collisions with obstacles while also finding the quickest path to the target object. Most other methods either resulted in collisions or found paths that took significantly more time.
In addition, HardFlow’s computation time was comparable to or lower than that of most competing methods.
In the future, the researchers could extend the framework to settings in which the AI model itself can also be updated, so that constraint satisfaction and sample quality can be improved in a more adaptive manner.
MIT spinout turns plastic waste into resilient building materialsAtlas Building Composites is commercializing MIT research to turn plastic waste into parts for buildings and other infrastructure.The world needs more homes. The world also has too much plastic. Perhaps the only thing those two problems have in common is that they’re hard to solve.
Atlas Building Composites, a spinout of MIT, is on a mission to address both problems with a single solution. The company has developed an AI-powered robotic manufacturing platform capable of turning single-use plastics into durable building materials.
The company emerged from MIT HAUS, a research effort in the MIT Department of Mechanical Engineering that’s short for “Home Architecture for Universal Sustainability.” Atlas uses waterless plastic recycling and large-scale composite additive manufacturing technology to make parts like home foundations, decks, and trusses for walls, floors, and roofs.
“Our mission is to convert waste plastic pollution into durable composites to build 1 billion homes,” says Atlas chair and co-founder A.J. Perez ’13, MNG ’14, PhD ’23, who is also an MIT research scientist. “You can’t divorce these things from each other. We’re not here just to build homes, and we’re not here just to recycle plastic. The conventional way of building homes involves cutting down trees, mining, refining, and a bunch of other dirty activities. We want to avoid all that and address all the plastic bound for our oceans and landfills. We’re turning bottles into buildings.”
Atlas’ parts are already being used to support barns, sheds, decks, and docks. Most recently, the company supplied the U.S. Army Corps of Engineers with American-made recycled composite trusses to construct a 40-foot bridge in a Massachusetts wetland.
Perez and Atlas co-founder Matt Pouliot envision deploying thousands of their AI robotic production systems around the world. A key enabler for that scale is the company’s ability to recycle low-grade plastic into building components without water.
“This is key to democratizing recycling,” Perez says. “Now, every country around the world, regardless of their water access, will be able to do something about their plastic. We strive to study these issues in the real world, not just a lab. When you talk to government officials about creating a new recycling facility, they have to get the local water agency involved, there’s permitting, etc. A lot of that work disappears with the waterless recycling process.”
Research for impact
Since earning his PhD at MIT, Perez has been developing advanced fabrication techniques for homes and new techniques for plastic recycling. In 2019, he started MIT HAUS with David Hardt, MIT’s Ralph E. and Eloise F. Cross Professor in Manufacturing.
“It started with the simple mission of enabling the production of 1 billion homes over a 30-year period,” Perez says. “Then we realized how much the materials needed for those homes would strain global supply chains.”
Perez says building those homes using conventional methods would require a doubling of global production capacity for materials like concrete, not to mention a dramatic acceleration of global deforestation.
“That’s where the light bulb went off,” Perez says. “There’s this other problem humanity has, which is 8 gigatons of plastic that have been produced and are polluting our oceans, rivers, and cities. We decided to plug two really big, hairy problems together.”
Perez met Pouliot, a former Maine senator, and the pair started Atlas to commercialize the technology Perez had been developing at MIT. The founders worked with MIT’s Technology Licensing Office and have since worked with researchers at other universities to independently develop technology for the company’s robotic manufacturing platform, which the founders call the Atlas Factory Stack.
First, single-use plastic from water bottles and other objects is shredded and fed into the Atlas system, where it is melted and fused with American-made fiberglass to make it stronger than wood. From there, a large-scale 3D printer creates the parts, including trusses for floors, walls, roofs, and bridges.
Through research at MIT, Perez has shown large composite trusses can be printed in under 13 minutes and support over 4,000 pounds, exceeding key building standards.
“At MIT, we’ve demonstrated we can produce 60 to 80 pounds of parts per hour, and the systems we’re specifying in Atlas factories operate in the 150 to 200 pound per hour range,” Perez says. “There’s the potential for our robotic manufacturing platform to produce each part at a lower cost than injection molding, and it’s far more flexible and convenient. For example, we can manufacture the parts in the reverse order so that they’ll be placed on the finished goods pallet next to the machine.”
The founders envision Atlas as a technology provider enabling the creation of home factories close to wherever homes need to be built. Today, each Atlas factory cell is capable of producing the structural framing components for about one small home per day.
“The old way of doing things would be some huge factory in China would mass produce one type of part and ship it far away,” Perez says. “I don’t think that’s good for the planet. Another reason we don’t use injection molding is economic: Mega factories don’t produce as many jobs and have a much higher carbon footprint. We want this to be localized to benefit local communities. The plastic is already everywhere. The more local Atlas is, the lower the cost and footprint.”
Going global
Plastics last far longer than wood, especially for applications where they’re in contact with the ground or water. That adds to the company’s environmental benefits.
“If you get a material into the building world and it does its job, it’s going to be used for a very long time and not need to be recycled again for a very long time,” Pouliot says. “That’s important because when you recycle something over and over again, it degrades. This is one of the most sustainable use cases for recycled petrochemical products.”
Atlas’ bridge with the Army Corps of Engineers was installed in less than a day. The founders are also in talks with international franchise partners to deploy the Atlas Factory Stack across the globe.
“To accomplish our mission, I fundamentally believe it’s not going to be one far-away company dominating the industry,” Perez says. “It’s going to be every country leveraging Atlas Factory Stacks to create local recycling jobs, local factory jobs, local construction jobs, and to stimulate their economies with local materials.”
A burst of “pink noise” may lead to more restorative sleepDelivered at just the right time, this type of auditory stimulus can strengthen the flow of cerebrospinal fluid, which clears debris from the brain and keeps it healthy.During the day, waste products such as lactic acid and worn-out proteins build up in the brain. When we sleep at night, waves of cerebrospinal fluid (CSF) help to wash away this waste, keeping the brain healthy.
In a new study, MIT researchers have shown that they can strengthen these CSF waves through exposure to short bursts of a gentle, staticky sound known as “pink noise” during sleep. These bursts increase the amplitude of slow electrical waves in the brain, which then enlarges the CSF waves.
The researchers now hope to explore whether this enhanced CSF flow could help to boost cognitive function, improve memory, or even slow the progression of neurodegenerative diseases caused by the buildup of harmful proteins such as amyloid beta.
“We found that we were able to increase the size of the CSF flow wave during sleep, which as far as we know, there hasn’t been a method to do before. Now that we can enhance CSF flow during sleep in healthy adults, we’re really excited to bring this technology to clinical populations to see what effects we can have,” says Laura Lewis, the Athinoula A. Martinos Associate Professor of Electrical Engineering and Computer Science, a member of MIT’s Institute for Medical Engineering and Science and the Research Laboratory of Electronics, and an associate member of the Picower Institute for Learning and Memory.
Lewis is the senior author of the study, which appears today in Science Translational Medicine. Joshua Levitt, who recently earned his PhD from Boston University and was a visiting graduate student in Lewis’ lab, is the paper’s lead author.
Cleaning up the brain
Cerebrospinal fluid is a clear liquid that surrounds and cushions the brain and spinal cord. In addition to protecting the brain from injury, it also helps provide nutrients such as glucose and removes waste products secreted by brain cells as they burn energy.
In 2019, Lewis reported a way to use functional magnetic resonance imaging (fMRI) to measure CSF waves as they flow in and out of the brain during sleep. That study showed that these waves are tightly coupled with brain waves called slow waves, which are associated with deep sleep.
In the new study, she wanted to further explore the relationship between brain waves and CSF flow, and investigate whether manipulating brain waves might enhance CSF flow. Previous work had already shown that delivering an auditory stimulus at the peak of slow waves can deepen the waves.
“You can make more of these electrical slow waves through an auditory stimulus, if it comes at just the right time. Similar to a child on a swing, if you push them when they’re at the right moment in their movement, you can make that swing go farther,” Lewis says. “The challenge is: How do you find just the right time?”
The auditory stimulus used for this study is a 50-millisecond burst of pink noise. Similar to white noise, pink noise contains all sound frequencies audible to the human ear, but the lower pitch frequencies are louder and the higher pitch frequencies are softer. This creates a balanced, gentle sound similar to steady rain or a distant waterfall.
To deliver these bursts at the peak of the brain’s slow waves, the researchers had to measure each participant’s EEG activity as they slept. This proved challenging because they also needed to measure fMRI signals to monitor CSF flow, and the magnetic fields used for fMRI interfere with EEG signals.
To overcome that, the researchers developed a way to process the EEG signals to eliminate the noise caused by fMRI, very rapidly — in less than 100 milliseconds. To make up for that small lag time in the EEG measurement, they also developed an algorithm that could predict when the slow wave peaks would occur. This allowed them to deliver the pink noise stimulus at the correct time.
More restorative sleep
In tests of 14 healthy volunteers, the researchers found that the auditory stimulus they delivered — which is not loud enough to wake a sleeping person — increased the amplitude of both the slow electrical waves and the CSF waves, during sleep.
Their fMRI studies also revealed that the slow waves stimulate blood vessels to constrict and dilate, allowing them to act as a pump that drives CSF out of the brain. Slow waves are seen only during non-REM sleep, and they become more prominent in deeper stages of sleep.
The researchers now hope to study whether enhancing CSF flow could help people to get more restorative sleep, especially people with insomnia. They also plan to explore whether increasing the flow of CSF, and the removal of waste products from the brain, could help people with Alzheimer’s and other diseases characterized by buildup of harmful proteins.
“Brain waste clearance is really important for Alzheimer’s and other forms of dementia, which are caused, in part, by the buildup of molecules like amyloid and tau in the brain. If we can improve brain waste clearance, we may be able to help prevent the buildups of these plaques that lead to disease,” Levitt says.
Levitt has started a company that hopes to develop a device, such as a headband, that people could use at home to increase CSF flow by delivering an auditory stimulus at the right time.
The research was funded by a McKnight Scholar Award, a Sloan Fellowship, a Pew Biomedical Scholars Award, the Simons Foundation Collaboration on Plasticity in the Aging Brain, the MIT EECS Transformative Research Fund, the National Institutes of Health, the Corundum Convergence Institute, and the Panasonic Well Fellowship for AI and Wellness.
An electrochemical approach turns ammonia into pure hydrogenAn MIT team has demonstrated a more efficient way to extract pure hydrogen gas from hydrogen carrier molecules.As a liquid that is easily stored and transported, ammonia (NH3) is an attractive carrier for hydrogen, which is used in fuel cells, semiconductor manufacturing, chemical processing, and other applications. However, breaking ammonia into hydrogen and nitrogen typically requires high temperatures, and the resulting gas mixture must undergo additional purification before the hydrogen can be used in many applications.
MIT researchers have now developed an electrochemical approach to promote hydrogen release from ammonia while simultaneously separating and concentrating the hydrogen into a high-purity stream. Their strategy, which uses electricity to speed up the extraction, reduces the temperature and energy required to recover hydrogen from ammonia and other hydrogen carriers.
In a new study, the researchers showed that their approach can generate highly concentrated, pure streams of hydrogen.
“We have shown the ability to use electrochemistry to drive thermodynamically uphill and kinetically difficult dehydrogenation reactions,” says Yogesh Surendranath, the Donner Professor of Science and a professor of chemistry and chemical engineering. “In this case, we studied the conversion of ammonia and a liquid organic molecule because of their importance as possible hydrogen carriers for a hydrogen economy. But the concepts we learned here could in principle be translated further, and we’re actively working on translating it to other important dehydrogenation reactions.”
Surendranath is the corresponding author of the study, which appears today in Nature. MIT postdoc Rui Zeng, now a professor of materials science and engineering at Harbin Institute of Technology in Shenzhen, China, is the paper’s lead author.
Extracting hydrogen
Hydrogen is widely used in semiconductor manufacturing and chemical processing and is also an energy carrier in fuel cells that use hydrogen and oxygen to generate electricity without combustion. Expanding its use, however, will require practical ways to store and distribute it.
Hydrogen gas itself is difficult to transport efficiently without compression or liquefaction. One alternative is to store hydrogen chemically in compounds that are liquids or can be readily liquefied, then release it where and when it is needed.
Ammonia is one promising hydrogen carrier because it is already produced and transported across large distances, but recovering hydrogen from ammonia remains challenging. That process, known as “cracking,” requires temperatures higher than 500 degrees Celsius to achieve high reaction rates and conversion. The hydrogen must then be separated from nitrogen and unreacted ammonia.
“We wanted to ask whether we could use electrical inputs to drive what would otherwise be an unfavorable dehydrogenation reaction, and simultaneously do it in a way that would separate the hydrogen from the hydrogen carrier, so that it would be very pure and could be used directly in a fuel cell or other application that requires a high purity hydrogen stream,” Surendranath says.
The key element of the researchers’ new design is the coupling of a palladium-based separation membrane with a hydrogen-generating electrode through a molten hydroxide electrolyte. The separation membrane selectively transports hydrogen while preventing other components of the reaction mixture from passing through.
Using the new setup, ammonia is first dehydrogenated by a catalyst containing ruthenium and cesium. The hydrogen then reaches the separation membrane, whose opposite side is in contact with a molten hydroxide electrolyte.
The electrochemical gradient across this membrane effectively creates a “vacuum” for hydrogen, providing a strong driving force for its transport across the membrane. It also converts the hydrogen into protons and electrons, which travel separately through the molten electrolyte and external circuit, respectively, before recombining at a second electrode to form hydrogen gas.
Because the membrane selectively transports hydrogen, the system produces a concentrated stream of hydrogen gas without requiring a separate downstream purification process.
“Using this electrochemical process, we’re able to do this active pumping of hydrogen from a low concentration to a high concentration,” Surendranath says.
Continuously extracting hydrogen can also help drive the dehydrogenation reaction forward, especially when the presence of hydrogen inhibits the reaction. In this way, this strategy does more than separate the product: It changes the reaction environment and enables hydrogen recovery under milder conditions.
This process thus can be performed at temperatures around 200 or 300 degrees Celsius, much lower than those required for conventional ammonia cracking. Another advantage is that it creates a pure stream of hydrogen that doesn’t need to be purified later on — a step that requires additional energy.
Curtis Berlinguette, a professor of chemistry and chemical and biological engineering at the University of British Columbia, described the method as “a powerful new way” to solve the problem of obtaining a pure stream of hydrogen from ammonia and other hydrogen carriers.
“By using electricity to pull hydrogen through the membrane as it is released, they accelerate the dehydrogenation of ammonia and liquid organic hydrogen carriers while simultaneously producing a purified hydrogen stream. This is an important advance for the energy sciences because it opens a credible pathway for transporting hydrogen in stable chemical carriers and releasing it where and when it is needed,” says Berlinguette, who was not involved in the research.
Powering transportation
In this study, the researchers showed that this approach could be used to dehydrogenate not only ammonia but also methylcyclohexane. This molecule is part of a class known as liquid organic hydrogen carriers (LOHCs), which also hold potential as an energy carrier.
The researchers envision that their new strategy could be useful for transportation applications, such as powering cars, buses, or ships, or for fabricating semiconductors or electronics. Pure hydrogen gas is used for several steps in semiconductor manufacturing, where it plays important roles in boosting manufacturing yields and reducing surface defects.
Because palladium is an expensive metal, the researchers are now working on ways to reduce the amount of palladium needed for the separation membrane. They are also working on scaling up the process, and on applying it to other dehydrogenation reactions that could be industrially useful.
The research was funded by the U.S. National Science Foundation.
Study predicts large disparities in access to food, water, and energy in 2050 In some regions of the world, the poorest people may spend about 50 percent of their income on food, while the richest spend about 5 percent.How will global access to food, water, and energy evolve in coming decades? A new study co-authored by MIT researchers suggests the answers could be very different depending on region, resource, and income.
Based on extensive modeling of many different resource scenarios, the study finds that in some regions, lower-income people could be spending roughly 50 percent of their income on food by the year 2050, in contrast to higher-income groups that could spent about 5 percent of income on food in the same areas.
“For a lot of these outcomes, the lower-income groups see much worse potential insecurity,” says Jennifer Morris, a principal research scientist at the MIT Center for Sustainability Science and Strategy and the MIT Energy Initiative, and co-author of a new paper detailing the findings. The results, she notes, can be evaluated by policymakers in different global regions to understand what the long-term, large-scale resource security risks may become for different parts of their populations.
“Anything that’s taking up half of your income is potentially destabilizing for your entire life because it leaves so few resources for the other critical needs and basic life necessities,” Morris says.
The study focuses on projecting future access to food, water, and energy, based on long-term variation across a dozen major factors influencing their availability, from economic conditions and agriculture production to trade conditions, climate, land use, and more.
“This study shows that there is no single driver of future food, energy, and water insecurity,” says Gi Joo Kim, a research scientist at Tulane University and co-author of the paper. “Income is important, but regional conditions, land use, energy systems, water availability, and consumer behavior all shape the risks people face.” For policymakers, he adds, “This means they need to consider specific combinations of factors that create vulnerability in each region.”
The paper, “Identifying Key Uncertainties and Drivers of Future Resource Security Outcomes Through a Multisector Scenario Ensemble,” appears in the journal Earth’s Future.
In addition to Morris and Kim, the authors include Brian O’Neill, an earth scientist at the Pacific Northwest National Laboratory; Marshall Wise, a system engineer at the Pacific Northwest National Laboratory; John Weyant, a professor of management science and engineering at Stanford University; and Jonathan Lamontagne, an associate professor of civil and environmental engineering at Tufts University.
Filling a gap
The current study fills a gap in modeling among scientists studying issues such as long-term resource security. Given the complications of long-term analyses, many studies have used what scientists term “shared socioeconomic pathway” circumstances, a small set of senarios spanning broad global narratives about the future, rather than exploring specific outcomes such as how long-term resource access may shift in linked fashion across income groups in different regions of the world. Two years ago, the same group of authors wrote a paper calling for more socioeconomically specific scenario analysis focused on outcomes for human well-being; the current study is their effort to develop that kind of modeling.
“For this type of study, where we’re focused on human well-being outcomes, the income piece is really important,” Morris says.
To conduct the study, the researchers adopted an existing framework in the field, the Global Change Analysis Model (GCAM) version 7.1, which represents interactions between energy, economies, water, land, and climate while dividing the world into 32 regions, 235 water basins, and 384 land-use regions and making adjustments for things like estimated commodity prices over time.
The research group used 12 main variables connected to resource availability, including population, GDP, income distribution, carbon intensity, land use, agricultural trade, multiple energy consumption scenarios, multiple water-use projections, and more. They ran simulations for 3,735 different scenarios involving these factors, to better understand the range of possible resource outcomes by 2050.
Broadly, the modeling does uncover some significant regional variations. In 2050 food security may be most acute in parts of sub-Saharan Africa, while energy security could be most acute for low-income residents in some parts of Asia, Eastern Europe, and the Middle East.
But within any region, there may still be substantial variation in resource security. In southern Africa, the modeling suggests that the poorest 10 percent of the population by income could be spending 49.6 percent of its income on food, compared to just 5.5 percent for the wealthiest 10 percent of the population. In West and East Africa the projected food burden for the bottom 10 percent of the population in terms of income is projected to be 48.4 percent and 42.5 percent, respectively.
To understand the potential change this represents over time, the researchers compared the results to data from the year 2015 in the GCAM model. For the lowest-income group across western Africa in 2015, the average food burden was about 25 percent of people’s income, compared to estimates for 2050 that range from about 20 percent to 75 percent of income. In southern Africa, the lowest-income group spent about 20 percent of their income on food in 2015, but the scholars’ modeling projects an increase in food burden ranging from 25 percent to 65 percent of income. The wide variation in projected burden reflects the wide range in possible future scenarios.
When it comes to energy, variation by income is also apparent. In some parts of the Middle East, for instance, the residential energy burden in 2050 is estimated to be just 1.7 percent for the highest income bracket but 18.9 for the lowest income bracket; in Eastern Europe, the energy burden reaches 11.3 percent of income for the lowest-income bracket, while resting at under 5 percent for the highest-income bracket.
“Regional averages can make future resource-security risks appear more manageable than they actually are,” Kim says. “This means analyses that stop at the average may miss exactly the populations most vulnerable to future change.”
Understanding the dynamics
To be sure, as the scholars emphasize, there are many uncertainties when it comes to resource access, and uncertainty is always part of modeling the global economy and resources. Still, they believe these kinds of projections can provide a more detailed outlook about social conditions in 2050 than has previously been available.
“At the very least, it’s highlighting areas of concern and showing that they differ in different parts of the world,” Morris says. “One of the outputs of this type of study is to map that out and provide that kind of insight. That can also inform the focus of further studies into specific regions and concerns.”
The researchers also believe the results will provide a new roadmap for policymakers who may be concerned about long-term resource provision across the entirety of their societies. While having new projections is valuable, modeling also helps analysts and policymakers see which factors most clearly influence future resource outcomes, as well.
“Our method was designed to identify the conditions that produce different resource security outcomes, rather than to predict one most likely future,” Kim says.
“It’s a different approach to scenarios than we typically see,” Morris adds. “The approach and method have been appealing to people because they have a broad range of uses and applications.”
The research was supported, in part, by the U.S. Department of Energy; Stanford University; and the National Research Foundation of Korea.
Governor Healey, MIT President Kornbluth to Kick Off Festivities at MIT Future Fest The five-day festival will explore the future of science, technology, art and design from Wednesday, Sept. 30 to Sunday, Oct. 4Massachusetts Governor Maura Healey and MIT President Sally Kornbluth will kick off MIT Future Fest, a new annual festival exploring the future of science, technology, art, and design, with “The Future Begins Here” panel, a celebration of Massachusetts innovation, talent and the bold questions shaping what comes next. The event will take place on Wednesday, September 30 at 3:30 PM at MIT’s Kresge Auditorium.
Curated and produced by the MIT Museum, the inaugural MIT Future Fest will take place across MIT’s campus from September 30–October 4, 2026. Governor Healy and President Kornbluth will be joined on the opening panel by Moderna co-founder and Flagship Pioneering founder and CEO Noubar Afeyan, MIT professor and entrepreneur Sangeeta Bhatia, and Bob Mumgaard, CEO and Co-Founder of Commonwealth Fusion Systems. Economic Development Secretary Eric Paley will moderate the discussion, which will explore how public, private, and educational institutions can work together to sustain talent pipelines, turn discovery into impact, and build the future
“Massachusetts is where the future is being invented, and MIT Future Fest is a chance to showcase our leadership in technology and design to the world,” said Governor Maura Healey. “From AI and robotics to clean energy and life sciences, the breakthroughs happening here are changing how we live and work. As Governor, I want Massachusetts to be the place where the best minds from around the world come to study, conduct research, start companies and scale their ideas. Our administration is investing in the talent, research and partnerships that make that possible, and we’re proud to launch MIT Future Fest with MIT.”
“The breakthrough discoveries that shape modern life came from decades of scientists and creators asking fundamental questions about how the world works. MIT Future Fest celebrates that same spirit of curiosity on mission," said MIT President Sally Kornbluth. "When you bring together engineers, inventors, artists, scientists, designers and entrepreneurs, you create the conditions for truly transformative innovation. This festival is an invitation to join that conversation, with the conviction that the future isn't something that happens to us—it's something we create together."
“The Future Beings Here” is one of more than 70 public talks, tours, performances, exhibitions, installations, and open laboratories included in the five-day program. Additional festival highlights and the full programming line-up are available at mitfuturefest.org.
New method allows scientists to follow gene activity over time in the same cells In the new method, cells package and export their RNA, enabling researchers to sequence and analyze the RNA without killing the cells.The following press release was issued Sept. 1 by the Broad Institute of MIT and Harvard.
In recent years, scientists have built methods to measure a cell’s transcriptome, or all the RNA produced by a cell, to study the cell’s identity and genetic activity. However, these methods rely on killing the cell to access the bits of RNA within, and offer only a one-time snapshot.
Now, researchers at the Broad Institute and at MIT have invented a “cellular self-reporting” approach to make living cells share their own transcriptomes, so that scientists can analyze them without killing the cells. Described in Cell, the live cell transcriptomic method relies on virus-like particles, which the cells use to package and deliver RNA to the culture medium they’re bathed in. Scientists can simply sample the medium to isolate the RNA, and do this repeatedly to reveal how gene activity in the same cell population changes as the cells mature or respond to perturbations. The researchers applied their method to a variety of cellular model systems, demonstrating its potential to help reveal how cells go awry over time in disease and how drugs affect cells.
“Our lab focuses our time and resources on developing tools that will actually get used and make real impact on the broader field,” says study senior author Paul Blainey, who is a core member of the Broad and a professor of biological engineering at MIT. “It’s so gratifying to see a real coming to fruition of this concept, which was complete science fiction when we started. It’s a great example of the innovative impact long-term high-risk, high-reward research can have.”
A cellular special delivery
The effort to build the new method began more than a decade ago, when the Blainey lab set out to find a new way to do RNA sequencing without killing cells. “The existing methods were a bit medieval and involved stabbing cells or cutting pieces off of them,” recalls Blainey. Inspired by the performance of molecular technologies such as CRISPR-based technology and their ease of adoption, Blainey and study first author Jacob Borrajo committed to developing a molecular method, which they knew would be challenging and take time, but would also make the approach scalable and easy for other labs to perform.
The team found inspiration in retroviruses, which over millions of years evolved the ability to package their RNA genomes in protein shells to spread from one infected cell to another. To build their method, the team engineered mammalian cells to express a retroviral structural protein that can encapsulate not only viral RNA but also a cell’s RNA. Integrated into the cell’s membrane, the viral protein is able to recruit cellular RNA, form a shell around it to create a virus-like particle, and bud off from the membrane to enter the liquid medium around the cell. The scientists then take a sample of the medium, isolate the RNA, and sequence it to get a view of the transcriptome from that cell population — all without destroying or damaging the cells.
“Compared to methods using robotics or mechanical biopsies of cells, our molecularly encoded solution could be much more broadly enabling for the average life science or biomedical lab, particularly the time dynamic questions that we hope to elucidate with this technology,” says co-first author Mohamad Najia, research fellow in the Blainey lab and the lab of George Daley at Boston Children’s Hospital. Najia and Borrajo led the work along with co-first author Anna Le, a postdoc in the Blainey lab.
Message in a bottle
To test the method’s broad applicability, the researchers showed that it worked in immortalized human cells, in cancer cell lines, in stem cells and neuronal cells made from them, and in primary cells from human donors. They also tested a culture of two human cell types growing together, using tags on the virus-like particles so that the signals from the two cell types could be distinguished during analysis.
In addition, cellular self-reporting is useful for studying systems with crucial three-dimensional structures that researchers would rather not disturb. The team demonstrated their method on spheroids of human endothelial cells, capturing short-term transcriptional changes after biochemically stimulating the cells.
They also collaborated with Linda Griffith, a professor of biological and mechanical engineering at MIT, to apply their method to her lab’s organ-on-a-chip devices. These models mimic the physiology of organs and can help minimize preclinical or animal model testing, but their complexity makes retrieving cells from the devices for analysis difficult. With cellular self-reporting, the researchers monitored gene expression dynamics in endothelial cells within the devices over time, revealing changes in genes related to how tissues form vascular networks that depended upon the source of supporting fibroblasts, such as from either uterus or lung.
The Broad team is continuing to look for new applications and biological questions to ask with their system, and are working to make the approach feasible for studying single cells. For now, they hope that scientists interested in following how cells and tissues change over time will give their method a try.
Stories from the steel mills: A model for sharing workers’ historiesMIT anthropologist Chris Walley developed a project for people in Southeast Chicago to tell their histories — an approach any community can adopt.For generations, the steel mills of Southeast Chicago offered work and a way of life, experienced by tens of thousands of families. Open around the clock, three shifts per day, the vast works of U.S. Steel, Republic Steel, Inland Steel, and many others provided demanding but steady jobs, while making materials to build the country.
Professor Christine Walley, head of the MIT Anthropology program, grew up in the area, where her father worked for Wisconsin Steel. Over time, U.S. manufacturing downsized — her father’s plant closed in 1980 — and the mills left Chicago. Walley’s 2013 book, “Exit Zero: Family and Class in Postindustrial Chicago,” chronicles the economic and psychological toll plant closures took on the area’s workers and families. The book was followed by a documentary, “Exit Zero,” directed by Chris Boebel, director of video at MIT Open Learning (and Walley’s husband).
Then Walley turned to a new effort — the Southeast Chicago Archive and Storytelling Project, an online repository of objects and images, as well as new video features about the industry, labor history, and the local community. The project was developed in collaboration with a team from the Southeast Chicago Historical Society, which in 1985 opened a museum about the steelworking life. This award-winning newer online project has been supported, in part, by MIT, the National Endowment for the Humanities, and others.
The idea is to use objects to tell stories about the area’s history. To mark Labor Day, MIT News offers this photo essay based on materials from the Southeast Chicago Archive and Storytelling Project, recognizing America’s workers — and reflecting on the jobs, work, and life produced by industry and innovation.
It’s hard to depict the vastness of Southeast Chicago’s steel manufacturing area, which stretched for miles into Northwest Indiana and included mills that employed 120,000 workers at their peak. This vintage postcard shows the industry along the Calumet River.
MIT’s 12th president, Howard Johnson, grew up in the area during the Great Depression, where family members toiled in the mills. Johnson’s father worked for U.S. Steel for 50 years, becoming a bookkeeper and accountant, and Johnson attended Bowen High School, which is still open today.
“Families — ours and thousands like it — were the essential centers of life in the community,” Johnson writes in his memoir, published by the MIT Press.
Families have also been essential to the Southeast Chicago Archive and Storytelling Project, which displays more than 1,100 items from the local historical museum’s collection: clothing, photos, scrapbooks, news clippings, recreational objects, oral history materials, and more. Walley says that anyone could take this approach, and use objects to tell stories about their own local history, work, and community life.
“People tend to experience history in their day-to-day lives not through books written by experts, but by telling stories around family objects and photos,” Walley says. “What is meaningful to us about the things we save from the past? Might these items be ‘clues’ that take us on a deeper historical journey?”
Kitty Kalwasinski Markovich (above, left) didn’t set out to become a welder — but as one, she nearly appeared the movies. Born Kazmira Kalwasinski, she immigrated with her family to Chicago from Poland in 1913, at age 10. During World War II, the steel mills sought replacements for men serving in the military, and she started welding at the South Works of U.S. Steel in Chicago.
Warner Brothers depicted her in this photo shoot (with Florence Josephs, right), as a worker in the “Rosie the Riveter” mode, and considered making a film featuring her. Five of her brothers served in the military, and their names are seen on Markovich’s welding helmet. One of them, Frank Kalwasinski, was killed in World War II, and his sacrifice is represented by the solid star.
Although many American women returned to their former lives as homemakers at the conclusion of the war, Markovich kept working in the mills, welding for 23 years in the South Works before she retired in 1967. It’s also where she met her husband, Michael Markovich. Kitty Kalwasinski Markovich’s family donated many materials to the Southeast Chicago Archive and Storytelling Project.
This hard hat, made around 1986, was donated to the Southeast Chicago Historical Museum along with a cutting from the last beam ever produced at U.S. Steel’s once-mighty South Works, which closed in 1992, having produced steel since the 1800s.
At its peak, South Works employed about 20,000 people. The Chicago steel mill closures, the 1970s through the 1990s, devastated employees and their families who, as Walley details in the “Exit Zero” book, identified strongly with steelworking. Her own father was a third-generation steelworker.
The online storytelling project deploys MIT scholar Sherry Turkle’s notion of “evocative objects,” those that hold great resonance and get our minds in motion. As Turkle writes, “we love the objects we think with.”
Donated to the museum by James Stapay, this hard hat evokes the end of a long industrial era in Chicago, and is featured in “The Closing of the Mills,” one of the project’s four documentary videos created from donated objects.
Working in steel mills was not just physically demanding, but dangerous. Worker injuries and deaths were a recognized problem, especially in the early years. This is prototype safety gear from around 1911-12, from a series of photo albums donated to the Southeast Chicago Historical Society by U.S. Steel itself in the 1980s.
U.S. Steel set up a Committee of Safety early in the 1900s, which recommended 3,000 changes to operations. However, in oral history interviews, workers often recount continuing dangers and terrible accidents in the steel mills.
Some first-person accounts state that as late as the 1960s, workers were still not regularly wearing hard hats. Basic safety practices seemed to improve, though, after the introduction of the U.S. Occupational Safety and Health Administration in 1970. Worker safety was a long-term work in progress.
Many of the close-knit communities formed around the mills have donated materials to the project that range far beyond the factory. For instance, family recreation was important in steelworks neighborhoods. Pictured here, in a photo donated by the Cordero family, is the “Mayas” softball team, made up of members of Southeast Chicago’s Mexican-American community, which won a 1937 community league championship.
Justino Cordero immigrated to Chicago in 1923, became a steelworker, then eventually did electrical work in the mills while opening a radio shop. Cordero, a father of three (two of his children are pictured), organized and coached youth sports teams to keep kids “out of trouble”; wrote a column for The Daily Calumet, a local newspaper; and was involved with his church, Our Lady of Guadalupe. After retirement, Cordero earned undergraduate and master’s degrees, to work with children with disabilities.
Another documentary video from the Southeast Chicago Archive and Storytelling Project, “Mexican-American Journeys,” explores the long history of Mexican-American steelworkers in Chicago, in many dimensions. At least a dozen parishoners of Our Lady of Guadalupe members who had been in the U.S. military in the 1960s were killed in the Vietnam War, serving their country.
In 1937, steelworkers went on strike in Chicago. On Memorial Day, during a peaceful protest at Republic Steel, 10 workers were killed by law enforcement officials — an event that provoked congressional hearings in Washington. The image at left is a poster made up for Local 1033, the union branch for the Republic Steel plant; at right, Local 1033 workers take a vote in later years.
While the so-called “Memorial Day Massacre” was a landmark event in national labor history, it is remembered in more intimate ways in the local area, with many families later donating photos, news clippings, scrapbooks, and interviews about it to the Southeast Chicago Historical Society.
And though the Southeast Chicago Archive and Storytelling Project project focuses heavily on working-class employment and daily life, there are many other possibilities for U.S. community-based history, involving almost any topic. Whatever the places, objects, and stories, but the goal is the same: to keep the past alive.
How architects turned a hulking brick box into MIT’s newest academic hubA venerable storage facility has become a 21st-century architectural tour de force. Here are the key decisions that transformed the Met Warehouse.It started with a vision: Move MIT’s School of Architecture and Planning (SA+P) into the Metropolitan Storage Warehouse, an unoccupied, fortress-like brick building on MIT’s campus in Cambridge, Massachusetts.
After all, SA+P needed more space and new facilities. And here, visible from its old offices across the street, was an unused building the size of an airplane hangar. It could offer bigger studios, more work areas, an auditorium, and galleries for events, and become a campus-wide hub for teaching, research, and public engagement.
“MIT thrives on this idea that we’re all connected,” says Hashim Sarkis, dean of SA+P and a key proponent of the project.
But that vision required hundreds of design decisions: how to bring light into the building, create workspaces and circulation, encourage communication among the school’s populations, and more.
“The conception of the project was not like an automatic flash,” says Elizabeth Diller, founding partner at Diller Scofido + Renfro (DS+R), the architecture firm that was selected to revamp the Met Warehouse, as it’s now called.
“It was a very challenging building to work with,” says Benjamin Gilmartin, another DS+R partner. “There was a lot of innovation needed.”
Innovation is welcome at MIT, however.
“They transformed the Met Warehouse toward the things we want, which is to do more collaborative work, and to combine instruction and research,” Sarkis says.
Here’s how DS+R, working with MIT over several years, created the new Met Warehouse — which has a ceremonial moving-in procession on Sept. 8.
Five buildings in one
The Met Warehouse was built in several phases starting in 1894; by 1923 it was a five-story building with 2-foot-thick brick walls and 1,500 storage units inside. It was a fortress used for private storage, with the words “Metropolitan Storage Warehouse Fire Proof” painted on the side, visible from across the river in Boston.
The structure was built in five segments, over time. That became crucial to its transformation. Diller and Gilmartin created a large design studio inside each of the segments.
“When you start a project like this, there are some big moves that seem very clear and obvious,” Diller says. “There are five buildings that were built basically in succession, making for a 500-foot long building. That is just too big, so how do we break it up into neighborhoods? We decided each building itself would have a stack of floating studios in it.”
That was essential for SA+P and the components of it that will use the building, such as the MIT Morningside Academy for Design, which was established through a $100 million gift from the Morningside Foundation, the philanthropic arm of the T.H. Chan family. This founding gift from family members Gerald and Beryl Chan and Ronnie and Barbara Chan included support for the Met Warehouse transformation.
Each building segment features double-height, column-free studios which, thanks to virtuoso engineering, are suspended from roof trusses that bring the weight back down to the existing structure.
Those spaces will benefit the interdisciplinary work taking place at MIT.
“In those five spaces, we’re putting the making and the research together,” Sarkis says. “The studio and the lab will become one and the same.”
Bringing in light
For about a century, the Met Warehouse featured tiny window slits as its only apertures. That raised a question: How could natural light be brought inside?
DS+R produced a dramatic answer, drawn from recent architectural history. Along the long north side of the Met Warehouse, adjacent to a set of railroad tracks, they carved large voids for the studios. Aligned with the studios, large segments of the brick exterior were replaced with glass facades.
This way, natural light pours into the studios and beyond, while occupants look out to a lively Cambridge cityscape.
“The process was like an extraction of the dense mass of the building to create open and light-filled space connecting all,” Diller says.
Her aesthetic inspiration included the artist Gordon Matta-Clark, known for making bold cuts into New York City buildings in the 1970s.
“Right from the beginning there was a nod to Gordon Matta-Clark,” Diller says, though she notes that Matta-Clark’s work consisted of building-scale interventions motivated by political and social critique. Whereas, “In our case, we use subtraction to build — to make space for new uses and to expose the anatomy of the building.”
The living lab
To ensure the huge cuts and windows would work, MIT collaborated with DS+R, as well as Leers Weinzapfel Associates, the project’s associate architects, and Shawmut Design and Construction, to test slab cuts and window arrangements directly in the Met Warehouse itself.
“This hands-on approach allowed us to prove the design concepts through actual construction methodologies and logistics,” says Nicole Bernabei, a senior project manager for campus construction at MIT, who has worked on the Met Warehouse effort since 2018.
Those slices into the building, needed to create the studios, revealed the Met Warehouse’s original structural features as cross-sections now appearing in walls. The designers envisioned those cuts as features to remain visible, something students can still learn from.
“For a school of architecture and planning, this approach feels especially fitting,” Bernabei says. “The building itself has become a teaching tool — a living laboratory where students, faculty, staff, and visitors experience how rigorous design thinking translates into a built reality. Every detail, from the celebrated slab edges to the transformative light, tells the story of collaboration and precision.”
And while those issues were being addressed, the architects had to grapple with, well, everything else.
Asymmetry inside
There is another reason the architects placed the huge glass walls on the north side of the Met Warehouse. The Cambridge Historical Commission (CHC) asked MIT to keep the building’s south and east sides essentially intact. The long south facade, the one historically visible from Boston, was particularly significant.
“Changing the building’s surface there [on the north side], bringing in the large glass, wouldn’t impact the character of the building as it would on the south side,” Diller says. For that reason, in the interior, “the big spaces drift to the north.”
The architects placed smaller spaces, like offices, on the south side.
“The fabric of the existing Met Warehouse building, with its column grids, offered a lot of opportunities for more serialized smaller spaces where you can have seminars, faculty offices, teaching spaces, research areas, next to and in dialogue with the larger multistory spaces that we introduced,” Gilmartin says.
So, the Met Warehouse is asymmetric inside: big studios extending from the north side, across much of the building; and smaller rooms on the south side.
It was not obvious how to bring more light into the south-side rooms, however. But an extended dialogue between DS+R, MIT, and the CHC produced an “intersect window” strategy — box frame windows sometimes intersecting with the small apertures already on the south side. The steel frames of the new windows, now at a proper height for looking out, distribute the weight of the brick and stone sills once carried by the solid brick that was removed.
“This meeting of the old and new satisfied the Cambridge Historical Commission’s desire for a minimal touch, but also created an unexpected and delightfully playful effect on the south facade,” says Morgan Pinney MArch ’10, a senior campus planner at MIT. The project, she adds, “allowed us to step into an exceptionally collaborative working relationship with CHC staff — one MIT is very proud of and will certainly continue to build upon for years to come.”
The unusual layout grants a centrality to the studio areas while ensuring that a full range of other spaces are wrapped around them.
“The logic of the building is that making things is in the middle,” says Sarkis, referring to the studio spaces. “This is MIT. There is making and research in the studios, with seminar rooms and offices all around.” Referring to the school motto, “mens et manus,” he adds, “That’s our culture. MIT is about mind and hand.”
Still, Sarkis and the architects wanted another element inside, too: interior passages connecting it all.
Extending the Infinite Corridor
MIT’s main group of buildings features the Infinite Corridor, a busy walkway spanning one-sixth of a mile indoors, linking many other spaces. MIT leaders thought the Met Warehouse could extend the concept.
“We conceived of it as having an ‘Infinite Corridor,’” says Sarkis, who hoped the corridor would be “visible and accessible all the way through.”
Diller, the architect behind New York City’s High Line, which turned elevated railroad tracks into a wildly popular urban park, knows about getting people walking. She wanted Met Warehouse occupants to “share a circulation system.”
And so every floor of the Met Warehouse has its own “infinite” corridor. Some overlook studio space one floor down, with the cityscape beyond, echoing High Line atmospherics. The off-center circulation spine connects the large studios on the north side and the offices at the south edge of the building. Being flexible about that placement allowed the whole Met Warehouse plan to work.
“That helps create the space for the large studios,” says John Ochsendorf, director of the MIT Morningside Academy for Design. Besides, he offers, “There’s a happy alignment between historical protection of the south facade, and where the sun is in the sky most of the year. You don’t want direct sunlight on the south side” — where glass walls would create a greenhouse effect — “and the city wanted to protect that view. The architects found this balance.”
A vertical vision
Meanwhile, the architects designed large stairs that pierce through the corridors, helping people access all floors of the building.
“We didn’t want a layering of the building with horizontal stratification,” Gilmartin says. The stairs will provide “moments of serendipity and exchange with other people.”
The first time Gilmartin drafted stairs for the building, they were “more blade-like and expressive formally” than the final version. But MIT asked for a stripped-down sensibility, so Gilmartin made the design “almost as simple as it could be.”
The stairs still have expansive scope and meeting-place potential.
“That central spine stair is sort of a ceremonial stair,” Diller says. “To see and be seen. I think it will be lively.”
Culture change
The Met Warehouse is very different from the previous quarters of SA+P, a warren of rooms in MIT’s buildings 7 and 9. Many peer institutions have design studios that place all students in a large common space. Not MIT, which has had a different culture, with smaller, specialized design spaces.
Now, the Met Warehouse does feature larger and more visible design areas.
“We’re trying to give the school the ability to adapt it and change it, and balance the past culture of MIT and a new culture with kinds of spaces where ideas can cross-pollinate and there’s a lot of room for large-scale experimentation,” Gilmartin says.
Design practice is becoming bigger across MIT, and as more people connect with it, the Met Warehouse will let MIT evolve.
Gilmartin again: “There’s just a lot of opportunity for smaller groupings of people to be organized in ways that are visible and connected to the larger spaces, but also offer the prospect of a retreat and focused work. I think it is hopefully attuned very well to MIT.”
The shock of the rebuilt
It’s unusual to move a major architecture school into an old building. Some of the best-known U.S. universities house their architecture schools in buildings with high-modernist stylings or postwar brutalist aesthetics, heavy on concrete, light on graceful curves.
“Those buildings come out of the modernist tradition predicated on the shock of the new,” Gilmartin says. “There was something confrontational about those buildings in their material expression and image, and spatial ideas of openness and flexibility, which was quite different from most historic buildings. In their time, they were pretty thrilling.”
But as the saying goes, that was then, and this is now.
“The reality of our future is that we can’t tear everything down and build new for every generation,” Gilmartin says. The Met Warehouse “makes a claim about the future of design and what the orientation of that needs to be, in our work,” he adds.
MIT agrees.
“I think it sends a very good message that this vanguard school of architecture, at the Massachusetts Institute of Technology, is moving into a historic building and adapting it for the future,” Sarkis has said.
Along with the Morningside Foundation, another key project donor was Sidara (formerly the Dar Group), a global collaborative of specialist design, engineering, and consulting firms, owned by Maha and Talal Shair; they have supported the creation of the building’s Sidara Auditorium and Sidara Gallery space.
Adaptive re-use
Ultimately, DS+R was ideal for the Met Warehouse project because of their experience transforming structures. Besides the High Line, they transformed a London media center built for the 2012 Olympics into the Victoria and Albert Museum’s new open storage facility, the V&A East Storehouse.
Diller suggests the key is being pragmatic.
“When you have a building that is that thick, that heavy, that present, sometimes it’s more expensive to demolish it than to invent a way of reusing it,” she says.
Besides, she adds, “Because it’s an architecture school, it’s important that the students understand adaptive reuse firsthand, as we share a planet with limited resources. It’s a good thing to repurpose buildings, to change their program, to update their innards where possible, rather than just preserving them in formaldehyde — or destroying them and taking away the character of a city.”
The Met Warehouse was old, is new again, and is ready for the MIT community to make it their own.
“Very often contemporary buildings are so sanitized and clinical, you don’t feel like you can touch anything,” Diller says. “It doesn’t feel like home. Here, we wanted students to feel uninhibited — a place that would feel like home.”
A home a world away from homeOne graduate student family treasures the community they found alongside other MIT student parents.For Nicholas Maurer, an international PhD student from Australia pursuing his degree in social and engineering systems through the Institute of Data, Systems, and Society, MIT was a lifelong goal. Growing up in Australia with a background in physics and engineering, he worked as a researcher, but never stopped wondering what it would be like to study at MIT.
When the opportunity came two years ago, he and his wife Andrea made the leap across the world, bringing their young children Elaine, 5, and Zachary, 3, with them. “It was always on my radar,” Maurer recalls. “Coming to MIT felt like a dream come true.”
Weighing their options
Maurer’s wife, Andrea, explains that it was “always in the cards” for the couple to travel for his studies, but neither of them expected this step to come after they had kids. Nevertheless, when Nicholas received multiple PhD offers, the decision came down to one crucial factor: support for their family of four. Together, the couple researched resources before deciding on the move. MIT's commitment to student parents stood out immediately.
As they learned more about the MIT Grant for Graduate Students with Children, on-campus childcare options, and Westgate — MIT's dedicated student family housing — their interest grew. They could tell that MIT cared about building a real home for its families.
Finding community in Westgate and beyond
Their residence has become far more than housing for the Maurer family; it's the heart of their MIT experience. Maurer credits the dedicated family accommodation with helping them form instant connections. “The biggest support has been Westgate,” he says.
For both Nicholas and Andrea, the international character of Westgate held special meaning. After moving from Australia, being surrounded by families from around the world eased the transition. The couple eventually became more involved with the Westgate community as parent resource coordinators, helping maintain connections among other parents and spouses.
When the family initially arrived at MIT, Andrea also found friendships through MIT Spouses and Partners Connect (MIT S&PC). “Meeting other spouses provided great comfort as others shared their experiences navigating this new life,” she explained, adding that it was helpful to see how others supported their partners through various MIT programs.
Although financial cuts necessitated S&PC's closure last year, she has been able to keep the spirit of the initiative going through informal meetups and coffee hours.
Parenting at MIT
The family has made the most of MIT's community offerings, attending student-parent lunches during finals week, visiting Rock Spot for rock climbing, and enjoying free ice cream events. They've also taken advantage of MIT Activities Committee discounts for family activities, allowing them to explore the greater Boston area.
Although the supports are substantial, Maurer is candid about the realities of balancing a PhD with parenting. “It's not for the fainthearted,” he says. “It takes a lot of time management and being honest with your capacity. I have learned to say no to some social activities or enrolling in that extra class I’m interested in, in favor of focusing on my core research objectives and supporting my family.”
Amid the challenges, though, there's genuine joy. “It's been amazing seeing our kids meet and play with kids from all over the world,” Maurer reflects. “MIT is an amazing place.”
3 Questions: The essential role of international engagementDuane Boning, MIT’s vice provost for international activities, discusses the Institute’s approach to global engagement.Vice Provost for International Activities Duane Boning oversees MIT’s international policies and engagements. Here he discusses why international engagement remains vital to MIT’s mission of advancing knowledge, educating students, and innovating to serve the nation and the world.
Q: Why does MIT consider international engagement important to its institutional mission?
A: International engagement is an integral part of what makes MIT strong. It allows us to collaborate with excellent partners, access facilities and research environments unavailable at home, monitor and learn from worldwide progress, and remain closely connected to the world of ideas and innovation.
MIT’s mission is to advance knowledge, educate students, and develop innovations that serve the nation and the world. To do those things well, we have to understand — and help shape — the global landscape of science and technology.
Today’s breakthroughs don’t emerge in isolation. Scientific talent, research facilities, and technological advances are distributed across the world. To ensure that we remain at the forefront of discovery and innovation, we need to know what is happening beyond our borders, collaborate where it serves our mission, and prepare our students to compete in a changing world.
That does not mean engagement without limits. We are open to international collaboration and global talent paired with sensible, risk-based safeguards. We welcome international collaboration where it advances our educational and research mission, while applying rigorous safeguards to protect sensitive research, intellectual property, and national security.
The world is already deeply interconnected, and we believe that thoughtful engagement makes us stronger.
Q: How does engaging this way benefit MIT and the nation?
A: International collaboration is central to keeping MIT and our graduates at the forefront of knowledge and innovation in the 21st century.
Collaboration is vital to attracting, retaining, and educating the leaders of tomorrow — students, faculty, and researchers from both the United States and around the world — and to feeding MIT's innovative and entrepreneurial spirit.
Frankly, throughout its history, MIT has flourished in part because of its capacity to attract the world’s very best students, faculty, and researchers — many of whom remain permanent contributors in the United States. These individuals have gone on to teach, deliver breakthroughs, and create American startups.
International partnerships also give MIT researchers access to things that aren’t readily accessible in the United States. For example, MIT researchers working in Singapore were able to test autonomous vehicle technologies years before suitable facilities were widely available domestically. Off the coast of Portugal, MIT researchers are now partnering to develop the next generation of deep-ocean monitoring systems in offshore environments that don’t exist here. The knowledge and insights gained in such settings benefit everything we do.
Q: How is MIT adapting to a changing and more uncertain world?
A: Our mission to serve the nation and the world remains steadfast, but we acknowledge that the world has changed. MIT has rigorous processes for evaluating and mitigating potential risk associated with international engagements in a thoughtful and thorough way, allowing the Institute to engage appropriately in new opportunities when and where possible.
Global collaboration still plays an essential role in advancing research, education, and innovation. But we recognize the challenges of operating within a rapidly shifting environment marked by geopolitical uncertainty, evolving federal funding priorities, regulatory complexity, policy shifts limiting international mobility, and competition for global talent and collaborations.
On the research front, we seek to cultivate relationships across industry, government, and the global alumni community. On education and student experience, we recognize that the United States benefits when American students understand the world around them. It expands opportunities for both undergraduate and graduate students to gain international experience while strengthening relationships with trusted partners and maintaining the flexibility to adapt as global conditions change.
While MIT’s global engagement is partly built on long-standing relationships that have delivered meaningful outcomes for students and researchers, today’s volatile landscape calls for forward-thinking cultivation of new relationships around the world. By investing in new regions, MIT will be better positioned to adapt to changing global circumstances.
International engagement enables MIT to deepen its impact, strengthen innovation, and enable students and researchers to take part in tackling the world’s most pressing challenges.
Assistant Professor Thomas Rose, an expert in archaeometallurgy, dies at 37Colleagues remember Rose as an enthusiastic and gracious friend who had recently started a promising research track at MIT.MIT Assistant Professor Thomas Rose, an expert in ancient metallurgy, passed away on Sept. 2 due to injuries sustained during a bicycle crash in Cambridge, Massachusetts. The incident, currently under investigation, occurred at the intersection of Memorial Drive and Massachusetts Avenue. Rose was 37.
Rose, who was MIT’s POSCO Professor of Materials Science and a member of MIT’s Center for Materials Research in Archaeology (CMRAE), joined MIT in January of this year and was still putting the finishing touches on his laboratory. But he had already endeared himself to colleagues and students by going the extra mile in mentorship, encouraging others to use his new equipment, and even using a portion of his lab startup funds on things the department needed.
“Everyone can look at his papers and his past and understand why he was such a good fit here technically,” Senior Lecturer Michael Tarkanian says. “But in the time he was here, it was even more impressive how likable, friendly, and open he was. He was everything you could have asked for as a colleague and a person. I thought, ‘What luck to be able to work with this person for the rest of my career.’ He was that good.”
Rose was born in Berlin, Germany. He discovered his life’s passion as a child, through a set of books about ancient Egypt.
“Thomas had a strong interest in archaeology already from a young age and participated in an excavation before he began his studies of archaeology,” Katrin Westner of the Deutsches Bergbau Museum Bochum and Professor Sabine Klein of the Ruhr University of Bochum wrote in a joint email tribute. “He was an incredibly inspired and enthusiastic researcher and was always bursting with new research ideas. We remember Thomas not only as a brilliant and dedicated researcher but also as a very close friend. We miss him deeply.”
Rose received his bachelor’s and master’s degrees from Goethe University Frankfurt and earned his PhD in archaeology through a joint doctoral program at Ben-Gurion University of the Negev in Israel and Sapienza University of Rome in Italy. Before coming to MIT, Rose held research and coordination roles in Germany at the Deutsches Bergbau Museum Bochum and Goethe University Frankfurt.
Rose’s research focused on ancient metallurgy and pyrotechnology that shaped early human societies, including how copper and its alloys were produced, transformed, and circulated.
The work integrated geochemistry, mineralogy, experimental archaeology, and materials science, making Rose an excellent fit in MIT’s tight-knit CMRAE group, which merges materials science with archaeology.
“The field of archaeometallurgy is unique,” explains Professor Polina Anikeeva, head of the Department of Materials Science and Engineering. “We had been looking for a faculty with the right skill set for at least 20 years. We needed someone who was world class in archaeology and materials science. We were looking for a unicorn, and we found him.”
Following the announcement of Rose’s hiring, a group from CMRAE traveled to a conference in Italy and heard from scholars based around the world about how lucky they were to have him.
“Thomas was an exceptionally talented and versatile scientist,” says University of Tuebingen Professor Silvia Amicone. “His ability to bring together archaeology, archaeometallurgy, geoscience, and materials science was remarkable. He was also committed to developing digital tools and promoting open, accessible, and reusable archaeological data. This combination of scientific rigor, methodological creativity, and engagement with broader archaeological questions made his work especially valuable. I was always impressed by Thomas’s brilliant intellect, collegial spirit, enthusiasm, and dedication to his work. Above all, he was a genuinely kind and good person.”
Rose had never taught before coming to MIT, but he was excited to begin his first courses this fall. His lab’s first batch of graduate researchers just arrived at MIT, but Rose had already begun mentoring students.
“He was the kindest person you could meet,” says Assistant Professor Tania Lopez-Silva, whose office was close to Rose’s. “He was always smiling. He really cared about his students, and he had a lot of momentum here. He was here first thing in the morning and late into the night.”
Several colleagues recalled the energy and enthusiasm he brought to work.
“He was so excited every day,” Anikeeva says. “Every day was a dream come true for Thomas. He was at the right place at the right time. He was so excited to collaborate and learn. He felt like he got his dream job, and everything he’d ever imagined was about to happen. It’s an unrealized vision.”
Tarkanian had recently restarted weekly meetings among researchers in CMRAE, which Rose attended consistently. Forging connections was a theme of Rose’s career.
“He had a long reach with both young and established scholars, and he inspired his friends and colleagues to show up,” says postdoc Benjamin Sabatini. “His work in archaeometry was paramount, and it showed in the people who gathered around him.”
Rose was also the co-founder of the Young Researchers in Archaeometry workshop, which brought together early-career researchers from around the world to present work and connect.
“Since [its founding], he accompanied every year’s workshop organizing meeting, always with immense kindness and support, making a lasting impact on each of us,” researchers Sinem Haciosmanoglu and Baptiste Solard wrote together in an email. “He was an exceptionally talented and dedicated researcher. Even at an early stage of his career, he brought new ideas and perspectives to the field. For many of us, he also played an important role in bringing together all fields of archaeological sciences, natural sciences, and cultural heritage.”
Outside of research, Rose was fond of rowing on the Charles River and was an avid member of MIT’s Archery Club. He loved manga Japanese comics and dancing. Lopez-Silva described Rose as humble and sometimes reserved, but on a recent recruitment outing with students, he fully committed himself to a very memorable karaoke performance.
“The students loved him,” Tarkanian says. “You could see that he cared about them, and they cared about him. He was going to be that kind of mentor.”
Editor's note: An earlier version of this article referred to a bicycle “accident” in the first paragraph. On Sept. 4, that was changed to “crash,” to avoid any suggestions regarding cause or culpability.
Fabrication platform could enable flexible, transparent next-generation photonic chipsThis scalable process produces high-performance chips for applications like discreet wearables or pliable augmented-reality displays.The field of silicon photonics, which uses light rather than electricity to transmit and process data on semiconductor chips, has enabled optical systems to evolve from bulky setups to compact and advanced systems. Typically, however, these silicon-photonics chips are rigid and opaque.
MIT scientists have now figured out a scalable way to make silicon-photonics chips flexible and transparent, opening a route to advanced microchips that could be used in applications such as discreet health monitors that conform to the body or transparent augmented-reality displays that fit the curve of a pilot’s helmet.
While scientists have recently performed lab demonstrations of chips that were flexible or transparent, they could only fabricate a few devices at a time.
The MIT researchers, in close collaboration with engineers at NY Creates at the Albany NanoTech Complex, created a fabrication process that uses standard semiconductor manufacturing techniques to generate flexible and transparent silicon-photonics chips on large-scale wafers.
To validate this platform, the researchers bent a single chip thousands of times around cylinders with various diameters — down to the width of a small screw — with no drop in performance. They also determined that looking through the chips would not cause much haze or distortion.
“We’ve now developed a wafer-scale process that produces wafers that are mechanically flexible and optically transparent, enabling novel applications that weren’t previously possible with silicon photonics. We hope that, by working closely with our colleagues at NY Creates and using the foundry at the Albany NanoTech Complex, there’s the potential for us to make the platform accessible to other groups within our research community and open these new application areas to the field of silicon photonics as a whole,” says Jelena Notaros, the Robert J. Shillman Career Development Associate Professor of Electrical Engineering and Computer Science (EECS) at MIT, a member of the Research Laboratory of Electronics, and senior author of a paper on this fabrication platform.
Her co-authors include lead author Tal Sneh and Andres Garcia Coleto, EECS graduate students; Thomas Dyer and Kevin Fealey of the New York Center for Research, Economic Advancement, Technology, Engineering, and Science (NY Creates); and Milica Notaros PhD ’23. The paper appears in the journal Optica.
Flexible and transparent
Over the past decade, researchers have developed techniques to fabricate precise and highly reliable silicon-photonics devices at scale.
They use advanced microelectronics foundry processes to produce 300-millimeter-diameter wafers with billions of nanoscale optical devices. But these methods yield silicon-photonics chips that are rigid and opaque.
“We realized that there are a lot of applications that would benefit from having a chip that is flexible and transparent,” Notaros says.
Scientists have previously made single silicon-photonics chips that were either transparent or flexible, but these techniques weren’t scalable. To address this scaling challenge, Notaros’ group recently demonstrated a foundry-scale process for making silicon-photonics chips on a flexible substrate.
Now, the team pushed these innovations even farther with a scalable process that produces 300-millimeter silicon-photonics wafers that are both transparent and flexible.
Their fabrication process begins as if they were making a traditional, rigid silicon wafer. The researchers carefully deposit and pattern tiny optical wires known as waveguides onto this rigid silicon substrate.
Then they bond a temporary silicon wafer on top. They flip the wafer over and remove all of the original silicon substrate from what is now the top of the wafer. They are then left with a flat layer of material with a thickness less than a tenth of a human hair.
“Thanks to the fact that we added that rigid temporary support before we flipped the wafer over, we can go all the way down so we are just left with the oxide and waveguiding layers,” Sneh says.
They use an adhesive to stick a thin, transparent polyester film on top of these ultrathin layers and “de-bond” the temporary silicon wafer from the bottom to remove it.
This leaves them with a flexible, transparent wafer only a few microns thick that contains the oxide and waveguide layers needed to capture and transport light for silicon photonics.
“Because we are using stable 300-millimeter foundry fabrication tools, we can design systems with a very large number of devices and feel confident that they are going to perform up to specifications, which is extremely important,” Sneh adds.
The biggest challenge in developing this fabrication process was removing enough material from a large 300-millimeter-diameter silicon wafer to leave only a few microns of material behind.
During fabrication, stress on the wafer typically causes it to bow slightly, making this silicon removal process especially challenging.
“As we were flipping the wafers over on these substrates, if the strain isn’t properly managed and the wafer isn’t perfectly flat, it is going to get ripples across its surface or even shatter in the fabrication line,” Dyer says.
The researchers carefully managed that stress by sticking to low temperature processes at or below 500 degrees Celsius.
They also had to find the right ordering and combination of removal methods.
They used industrial processes to thin the silicon layer, but switched to a more precise selective chemical etch for the last bit. This ensured they would not damage the ultrathin layers left behind.
An eye on performance
The researchers performed three experiments to test different functionalities of these flexible, transparent silicon-photonics wafers.
First, they tested the optical performance of chips with integrated waveguides of different lengths to determine their waveguiding properties.
Then they tested flexibility by bending a chip thousands of times around cylinders with different diameters. These experiments showed no degradation in performance even when they bent it around a cylinder about the size of a small screw. The device didn’t start to degrade until the researchers bent it around a toothpick several times.
“This experiment validated that the platform can be used for our proposed applications, performing even well beyond the metrics required for these intended systems,” Garcia Coleto says.
They also evaluated transparency by setting up a bionic eye and testing whether the chip would distort the user’s vision when placed in front of the eye. They found that the chip causes only minimal haze for the viewer and would not noticeably distort images the eye perceives when looking through it.
These characteristics could make these chips especially well-suited for enabling silicon-photonics systems for applications like curved augmented-reality displays that conform to a heads-up-display windshield or airplane pilot’s visor. In a pilot’s visor, for instance, such an augmented-reality display could replace the heavy bulk-optical systems that currently provide real-time information to help the pilot react to dangerous conditions.
In the future, the researchers want to add more complex components and functionality to the chips as they move toward enabling these and other new applications. They also want to refine the design to further improve waveguide efficiency and boost transparency performance.
This research was funded, in part, by the National Science Foundation, the U.S. Defense Advanced Research Projects Agency, and a MathWorks Fellowship. Wafer processing was performed at NY Creates, and chip dicing was conducted at MIT.nano.
New qubit architecture enables faster, more accurate operationsThis advance could be a big step toward developing a scalable, practical quantum computer.Researchers from MIT have designed a new qubit architecture that enables qubits to interact with each other much more quickly while remaining very stable. This advance could someday help scientists build practical quantum computers that can run long, complex algorithms with high accuracy.
Qubits, which are the building blocks of a quantum computer, usually only store data and rely on other electronics to perform operations and communicate. But qubits are so fragile and error-prone that it is difficult for scientists to connect enough qubits before they lose their information and need to be reset.
The MIT team designed a dual-purpose qubit with two separate parts: one component that stores data and one component that interacts with other qubits and electronics. This design improves the reliability of the qubit and enables it to operate with a reduced error rate, so it can perform more computations in the same time span.
Their simulations indicate that this new qubit architecture could allow significantly faster and higher-fidelity operations than existing designs.
While this research is still in its early days, it holds the potential to help scientists build large-scale, useful quantum computers that can solve real problems which are too difficult for traditional supercomputers to handle.
“This work feels like a big step. It is a new architecture that shows how much these systems can be engineered. We have taken two ideas and put them together in a way that can help us accomplish this qubit codesign that we are looking for, creating a pretty rare combination of the things we need to do quantum error correction,” says Alec Yen, who earned his electrical engineering and computer science (EECS) PhD this spring and is co-author of a paper describing the new architecture.
He is joined on the paper by lead author Jeremy Kline, an EECS graduate student; Stanley Chen, an MIT undergraduate; and senior author Kevin O’Brien, an associate professor in EECS and principal investigator in the Research Laboratory of Electronics (RLE). The work appears in Physical Review Applied.
A dual-purpose qubit
Just like the bits in a classical computer, quantum bits store information. But unlike classical bits, quantum bits have very short lifespans and can break down quickly when scientists connect them to make a quantum computer.
This degradation, known as decoherence, introduces errors in computations that rapidly build up, derailing long calculations before they are complete.
“The goal for doing all this is to build a fault-tolerant quantum computer where you can correct these errors as they happen, so then you can do long computations and actually do useful things with a quantum computer,” O’Brien explains.
To make qubits more reliable, the MIT researchers developed a new design that includes two separate but connected components: one which stores data and one which interacts with every other part of the quantum circuit.
This interaction component is like an arm that reaches out to other parts of the system, so the researchers call their design the “arm qubit.”
“It is engineered for these two, dual purposes — accomplished together by the data mode and arm mode — and these two goals really matter when you try to do quantum error correction,” Yen says.
Essentially, their design combines two different types of qubits. To make the data mode, they use one popular qubit design which has been known to have a very long lifespan, or coherence.
The arm mode utilizes a different design that exhibits very strong interactions with other components such as a resonator, which is an electronic component that allows for readout of quantum computations. Readout is the process of measuring a quantum system’s state and translating it into a classical value.
The key to this new architecture is a special coupling unit the researchers previously developed, which they used to connect the data mode and the arm mode.
Stronger coupling
Normally, coupling the modes together could cause unwanted interactions between them that would build up as more qubits are linked to the system.
One way to avoid this mixing is to use a technique called nonlinear coupling, which occurs when two components are linked in such a way that changing the state of one causes the other to change in response. Nonlinear coupling is essential for running most quantum algorithms.
The special device the researchers used, known as a quarton coupler, enables very strong nonlinear coupling between the data mode and arm mode, which significantly reduces unwanted mixing. This coupling allows the qubit to perform operations faster before it decoheres.
“By dedicating the ‘arm’ component to coupling, we were able make a design that is scalable, robust to manufacturing errors, and still uses a quarton coupler to achieve strong nonlinear coupling,” Kline says.
When they tested the design in simulations, the arm qubit outperformed other superconducting qubit architectures by yielding state-of-the-art coherence time as well as faster operations and readout.
The speed and reliability of this new architecture may accelerate quantum error correction, which is an important step in making quantum computers practical.
From here, the researchers plan to work toward fabricating the arm qubit so they can further study its properties and capabilities and integrate it into real quantum systems.
“This work leaves me with a lot of suspense because our simulations are very promising. Next, we’ll need to see if we can make it, and determine whether we missed anything in the modeling or design. If we can fabricate this qubit, it could be a building block for future error-correcting quantum computers,” O’Brien says.
This work is funded, in part, by the Army Research Office, the Air Force Office of Scientific Research, a Doc Bedard Fellowship from the MIT Center for Quantum Engineering and the Laboratory for Physical Sciences.
Giving farmers a more sustainable way to protect cropsLed by Andee Wallace PhD ’20, Robigo uses cutting-edge biotechnology to engineer microbes to fight pests, reducing the need for harmful chemical pesticides.Each year, farmers around the world spend $80 billion on pesticides for their crops. Those pesticides impact not only harmful insects but also bees and beneficial bacteria in the soil. They can also run off into waterways and harm the environment. And, they are increasingly being linked to human diseases like Parkinson’s and cancer.
Amid growing awareness of those problems, pesticides made from living microbes are gaining popularity. Unfortunately, such microbial pesticides are often less effective, forcing farmers to choose between potential environmental damage and higher crop yields.
Now, Robigo is equipping naturally occurring microbes with more potent pest-fighting capabilities. The company, which was co-founded by Andee Wallace PhD ’20, uses technologies more commonly associated with medical applications, like RNA interference and CRISPR, to engineer self-replicating microbes that target plant pathogens more precisely than chemical pesticides and more effectively than other biologically based solutions.
“Chemical pesticides have been a cornerstone of agricultural production for the past 70 years, to the point that it’s nearly impossible to envision an agricultural system without them,” Wallace says. “But that’s the long-term vision we have: providing growers new tools to enable a food system that is in balance with the environment, and that is productive, resilient, and safe.”
In field trials across five states, the company has already shown its microbes offer comparable results to chemical pesticides. In one trial comparing Robigo’s product with another commercial microbial product last summer, Robigo’s system led to a 250 percent increase in crop yield.
“Many crops, like lettuce, are harvested by hand, and the grower told me if a disease reduces yield even by just 25 percent, it’s not economical for them to pay workers to harvest the field at all,” Wallace says. “Growers are just trying to produce enough food to feed everyone. That’s why they use pesticides in the first place. We’re trying to give them a better choice.”
Engineered biology for agriculture
Wallace did her PhD in the lab of Chris Voigt, MIT’s Daniel I.C. Wang Professor and the head of the Department of Biological Engineering. She joined the lab after working at Bolt Threads, a startup spun out of the Voigt lab that was designing a material for the fashion industry inspired by spider silk.
“I came into MIT knowing that I wanted to join Voigt’s lab,” Wallace says. “I was really enamored with biomaterials in general. There are so many examples of animals and organisms that make incredible materials that we humans can’t replicate.”
Wallace’s PhD focused on engineering microbes in an attempt to replicate intricate glass nanostructures produced by single-cell algae called diatoms.
Wallace enjoyed her startup experience and explored entrepreneurship throughout her time at MIT. But it wasn’t until after graduation that she reconnected with two MIT students, Jai Padmakumar PhD ’23 and Connor Sweeney ’21, and decided to start her own company.
The founders’ initial idea was to engineer microbes to deliver CRISPR to target and kill bacteria that are harmful to crops. They used a number of MIT resources to get the company off the ground, including the Venture Mentoring Service, MIT Sandbox, delta v, and the MIT $100K Entrepreneurship Competition. Sweeney was involved in the venture for about a year. Padmakumar left Robigo in 2022.
Today Robigo is addressing a problem of growing importance to the agriculture industry.
“Chemical pesticides are under incredible pressures: increasing scrutiny from consumers and regulators, and increasing pesticide resistance among pests, diseases, and weeds,” Wallace explains. “Over the past 40 years, only two new herbicide chemistry modes of action have been commercialized, so people are understandably worried. If we can’t develop new solutions, resistance is only going to grow and will leave growers without effective tools to protect their crops. I think biotechnology has the potential to solve that problem.”
Farmers hope so, too: In an attempt to address environmental and health concerns, they have increasingly turned to so-called biological pesticide solutions, which are mostly made from natural sources like plant extracts, microbe-derived natural products, and increasingly biotechnology solutions like peptides and RNA.
“They are safer and better for the environment, but currently they just don’t perform as well or as reliably as synthetic chemistry pesticides, so there’s a big distrust among growers,” Wallace says. “Growers are being asked to choose between high performance or safety and sustainability. Robigo is trying to solve that problem by giving them products that do both.”
Robigo’s ARGO biotechnology platform combines synthetic biology and proprietary computational design processes to engineer microbes that perform at a similar level to chemical pesticides, but with improved safety profiles for people and the planet. A key part of that approach is leveraging microbes’ self-replicating abilities to continuously produce and deliver bioactive molecules in the field over the course of the growing season.
The company has moved in recent years from delivering CRISPR to RNA-interference, or RNAi, which inhibits key functions in the pathogens they want to target.
Robigo also differs from other microbial pesticide companies in its approach. Wallace says other companies screen to discover new microbes with the properties they want, then cultivate those for sprays and other modes of applications. But these specialized microbes may not be able to thrive in, say, the microbiome of California farm soil where they’re needed. That means they may die off soon after being deployed. Robigo, conversely, focuses on equipping robust, industry-proven microbes with the ability to target specific pests and diseases.
“Our starting point is ‘What crops will this be used for? and ‘What diseases do we want to control?’” Wallace says. “To design safer products, we need to be direct in how we’re designing RNAi to target different diseases. Another layer of our technology is what we call RNAi stacking, where we combine multiple RNAi into a single microbe to broaden the spectrum of pathogens we can control with a single product.”
Lab to farm to table
Last year, Robigo ran field trials for its two lead products, with soybeans and lettuce across the U.S. Midwest and West. Working with third-party testing companies, they showed a single application of their microbes offered protection for crops over the entire growing season and matched the performance of the leading chemical pesticide at a fraction of the cost.
“That’s very unusual for biological products, and even many chemical products, so we’re really optimistic about engineered microbes being a new solution that disrupts the conventional chemical pesticide paradigm,” Wallace says.
Wallace says Robigo is expanding fourfold this year and plans to expand even faster next year with the help of major agrochemical companies interested in more sustainable solutions. The company is also partnering to expand to other crops as it helps farmers around the world.
“There are a lot of opportunities we’re excited about, and we’re working with a number of partners as we scale,” Wallace says. “Over the past nine months, we’ve systematically used our ARGO platform to tackle new opportunities, and we have a number of products in the pipeline we’re working to bring to growers around the world.”
System helps humans predict when self-driving cars will make mistakesA new method, called CW-Net, translates the reasoning process of an autonomous vehicle’s AI system into understandable concepts that explain its behavior.Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations. For instance, the car might inexplicably brake and block the path of an oncoming emergency vehicle. A human driver or passenger may need to react rapidly to prevent a collision.
To help humans better anticipate a vehicle’s mistakes, researchers from MIT and autonomous vehicle technology company Motional developed a new method that provides clear explanations of the underlying model’s decisions.
Usually, the internal reasoning process of a deep learning model is opaque and difficult to understand. But the new method, called the Concept-Wrapper Network (CW-Net), translates that reasoning process into concepts that faithfully describe the autonomous vehicle’s decisions without altering its driving performance.
CW-Net explains the decisions of machine learning-based planners using understandable concepts, like “approaching stopped vehicle” or “close to cyclist.” These explanations can correct misconceptions drivers and passengers have about vehicle behavior and improve their situational awareness.
In road tests on a private track, CW-Net explanations helped safety drivers more accurately predict vehicle behavior; a larger simulation study with nonexpert users yielded similar results. These experiments show how CW-Net can provide important feedback for engineers as they troubleshoot in-vehicle artificial intelligence systems. In the longer term, this technique could boost the safety and transparency of autonomous vehicles, while building appropriate trust in drivers and passengers.
“This work shows how explanations are supportive to the human’s mental model and understanding of the behavior of a system, and how it could be used in engineering and development to improve the technology,” says Julie Shah, an MIT professor of aeronautics and astronautics, director of the Interactive Robotics Group in the Computer Science and Artificial Intelligence Laboratory (CSAIL), and co-senior author of the paper on CW-Net. “Unless we are building these technologies in a way that we can rely on and predict their behavior, then it is a shaky and unsafe foundation for their use.”
She is joined on the paper by lead author Eoin Kenny, a former MIT postdoc who is now a senior AI researcher at J.P. Morgan Chase; co-senior author Momchil Tomov, a staff research scientist at Motional; as well as Motional team members Akshay Dharmavaram, Sang Uk Lee, Tung Phan-Minh, Shreyas Rajesh, Yunqing Hu, and Laura Major, president and CEO of Motional. The research appears today in Nature.
Faithful explanations
Machine-learning-based planners act as the “brain” of a self-driving car. These powerful deep-learning architectures process data from the vehicle’s cameras and lidar sensors, generate a high-level summary of the vehicle’s environment, decide what the car should do next, and output a trajectory for it to follow.
The planners are usually black-box models, which means their internal decision-making process is so complex it is difficult to understand. This can leave scientists and safety drivers in the dark about why an autonomous vehicle made an unexpected decision, like phantom braking.
The researchers designed CW-Net to explain a vehicle’s decisions using understandable concepts, while ensuring those explanations accurately reflect the true reasons behind its behavior.
“Especially in high-stakes settings like self-driving cars, it’s important that the explanations are not potentially misleading. Because CW-Net is causally faithful in how it makes decisions, that provides certain guarantees around the explanations,” Kenny says.
CW-Net is a “concept classifier,” an AI algorithm that has been trained to predict the high-level concepts that exist within input data. The researchers plug the CW-Net module into the middle of an autonomous vehicle’s existing machine-learning planner architecture.
It translates the model’s internal reasoning process into understandable concepts, like “approaching stopped vehicle” or “close to cyclist.” Then it forces the final piece of the planning model architecture to use those concepts when it decides what the vehicle should do next. In this way, CW-Net ensures the concepts faithfully explain the vehicle’s actions.
At the same time, CW-Net uses the concepts it classified to generate clear explanations that are output along with the vehicle trajectory, in real-time.
“Instead of just wondering why the car stopped, having real-time data provides feedback that lets you test the system during deployment. You could also give that data to an engineer to potentially improve the system,” Kenny says.
The researchers trained CW-Net to predict concepts using a dataset of 130 million examples of scenes from self-driving cars, with multiple labeled concepts in each scene. Using such a large, labeled dataset enables it to identify concepts accurately in a wide range of settings.
They also designed CW-Net to mimic the driving decisions of machine-learning-based planners, so the module would not negatively impact vehicle performance.
In the end, CW-Net generates accurate, understandable explanations without altering the original deep learning model.
Improving situational awareness
To test CW-Net, the researchers deployed the module on a real autonomous driving test vehicle (a Motional robotaxi) on a private track with a safety driver. They found that CW-Net helped the safety driver better predict how the vehicle would behave in surprising situations.
For instance, the vehicle consistently stopped when it approached a cyclist, and the safety driver assumed it did so because it detected that cyclist. But CW-Net explanations revealed that the model wasn’t properly configured to detect the cyclist and chose a trajectory that would have caused a collision. Instead, it stopped because its emergency braking procedure kicked in when it got too close.
Armed with this information about the model’s mistake, the safety driver could reduce speed or engage manual driving mode sooner in similar situations. This could also help engineers fix the model to avoid this failure in the future.
In larger online simulation studies using real driving situations captured on the roads of Las Vegas, the researchers saw similar results. CW-Net explanations significantly improved participants’ abilities to predict how an autonomous vehicle will behave.
In the future, the researchers could extend CW-Net so the module can cover more concepts and explore different training and design techniques that could boost performance and improve interpretability.
“Our study shows how crucial interpretability can be to these high-stakes environments, and how it should be on the mind of people as they are making AI in the future, for self-driving cars or other safety-critical environments,” Kenny says.
New research shows a neutrino laser is impossibleDue to physical and fundamental limitations, an earlier proposal for producing laserlike beams of neutrinos cannot be achieved, scientists report.Neutrinos are the pervasive yet intangible particles that permeate the universe, streaming through whole planets, stars, and our bodies by the trillions each second. The elementary particles are often described as “ghostly” for their near-zero mass and their elusive nature, as they have very little interaction with normal matter.
Since their discovery in 1956, neutrinos have continued to surprise physicists with their unexpected properties and behaviors. For instance, the particles come in multiple “flavors” and can morph from one to the other like subatomic shape-shifters. Neutrinos may also be their own anti-particle, in a Jekyll-and-Hyde-like quantum duality. And their extremely weak interactions make them nearly impossible to detect.
Last year, scientists seemed to add to the particle’s mystique, with a concept for a neutrino laser. They proposed that a concentrated beam of neutrinos could be produced by cooling a cloud of radioactive atoms to nanokelvin temperatures, one-billionth the temperature of interstellar space. Slowed to a near-frozen crawl, the atoms would form a Bose-Einstein condensate and should act as one quantum, coherent whole, in a way that speeds up and amplifies their radioactive decay. The physicists assumed that neutrinos, being a natural byproduct of radioactive decay, should also be amplified, and that such a process should emit a laser-like beam of the ghostly particles.
But work by MIT physicists has now shown that the neutrino laser concept, and a similar proposal for gamma-rays, is impossible. In two companion papers appearing today in Physical Review Letters, Wolfgang Ketterle, the John D. MacArthur Professor of Physics at MIT, together with postdocs Hanzhen Lin and Yu-Kun Lu, presents a two-part analysis that demonstrates both concepts are physically and fundamentally not possible. More specifically, they have shown that the neutrino laser concept is flawed, due to “recoil” (as in, the kinetic energy created by the reaction), and due to a neutrino’s fundamental “fermionic” nature.
“These two papers are sort of punch one and punch two,” Ketterle says. “Each paper would have killed the proposal.”
MIT professor of physics Joe Formaggio, who put forth the neutrino laser proposal with Ben Jones, who at the time was associate professor of physics at the University of Texas at Arlington, sees the new results as a convincing and constructive challenge.
“When a new idea — such as the one we proposed — is shared, it is the duty of the community to scrutinize it. Such is the scientific process,” Formaggio says. “Indeed, it was great to see how our paper generated a lot of thinking outside of our original concept. We suspect that will continue.”
A quantum amplifier
The proposal for a neutrino laser was based on the idea of “superradiance” — a quantum, amplifying effect that had only been observed for photons.
One form of superradiance occurs when a cloud of atoms is cooled to near absolute zero, at which point an atom’s motion is determined not by thermal effects, but purely by quantum uncertainty. In this state of near standstill, which is known as a “Bose-Einstein condensate,” (BEC) the atoms move in sync, as a quantumly correlated whole.
If photons are pumped into the condensate as a laser beam, the atoms synchronize to scatter the photons back out, in the exact same direction. In contrast, a cloud of atoms at room temperature would simply scatter the photons in random directions, generating, at best, a soft glow. As photons scatter off atoms, the atoms should in turn “recoil,” as if they were physically pushed backward from the impact. In a BEC, because the atoms recoil in sync, the rate at which they scatter photons, in the same direction, grows exponentially. This amplifying effect results in a “superradiant” laser of photons, which scientists have observed.
In their proposal, Formaggio and Jones, who is now at the University of Manchester, suggested that the same superradiant effect could be possible for radioactive atoms, which naturally emit neutrinos as they decay. If a cloud of radioactive atoms were cooled to form a Bose-Einstein condensate, a similar amplifying effect should kick in and generate a concentrated beam of neutrinos as the atoms decay in sync. To illustrate their point, they outlined a scenario in which a cloud of radioactive rubidium atoms, once cooled into a BEC, would accelerate its radioactive decay, from a half-life of 86 days, to one minute.
No one has ever produced a BEC from radioactive atoms. But if it could be done, then the quantum state should, in theory, produce a neutrino laser.
Instant recoil
For Ketterle, the idea seemed too good to be true. Ketterle is the leading expert on Bose-Einstein condensates, which he co-discovered in 1995, and for which he shared the Nobel Prize in Physics in 2001. He and his group at MIT have revealed many surprising properties in Bose-Einstein condensates and other ultracold matter, where the energy of atoms is at their lowest.
“My experience has always been that the condensate can do marvelous things at low energy — superfluidity, vortices — and if you were to speak in a room filled with condensate, it would take one hour for you to hear my voice. That’s how slow the condensate is,” Ketterle says. “And I had always come to the conclusion that for anything violent, like nuclear reactions, the condensate would not do anything.”
Compared to visible photons, which have an energy of 1 electron volt, neutrinos are naturally emitted as atoms decay, with a million times more energy. When a neutrino blasts out from an atom, the emission should cause the atom in turn to recoil a million times more strongly than for visible photons.
“As long as the recoil atom stays in the condensate, it can make the condensate superradiant,” Ketterle says. “But when a neutrino is emitted at a million electronvolts, the atom recoils at velocities equivalent to Mach 10, faster than a fighter jet. This is so fast that the atom would almost instantly disappear.”
Even so, the neutrino laser proposal assumed that the escaped atom should leave a sort of quantum imprint in the condensate, which tells the condensate as a whole to emit future neutrinos in the same exact, laser-like direction.
But in the first of two new papers, Ketterle and his team show through a theoretical analysis that this is not the case. They considered a model that describes superradiance. This model determines the conditions that would lead to superradiance of photons. Ketterle applied the model to the case of radioactive atoms and neutrinos, taking into account the range of energies at which the particles are emitted, as well as the resulting recoil of the decaying atom and the dynamics of the condensate throughout.
These calculations showed that, in every scenario the team considered, superradiance was not possible. The atom simply recoiled too fast for any quantum imprint to build up. It was as if the condensate instantly loses the “memory” of the neutrino emitted, and therefore would continue emitting neutrinos as atoms normally would, without enhancement.
An anti-memory
In their second paper, the MIT researchers showed that in addition to being impossible due to a physical recoil effect, the concept of a neutrino laser is flawed due to the fundamental nature of neutrinos.
They found that even if a recoiling atom were to leave a quantum imprint in the condensate, the imprint would not be of what to emit next, but rather, what not to emit. In other words, the memory of the emitted neutrino would tell the condensate to emit the next neutrino in any other direction, preventing the buildup of a directional neutrino beam. The researchers showed that this opposing memory, or “anti-correlation,” is due to the fact that a neutrino is, fundamentally, a fermion.
Fermions and bosons are the two fundamental classes of particles that make up all the matter in the universe. Bosons are particles with whole-integer spins, such as photons. In contrast, fermions, such as electrons and neutrinos, have half-integer spins. Whether a particle has a whole or half integer spin determines how it interacts at a quantum level with other particles.
“In superradiance, it is about a memory effect, or quantum correlations in the condensate. And in that context, people had thought that whatever is emitted from the condensate, it doesn’t matter if it is a boson or a fermion,” Ketterle explains. “But we analyzed it, and if you describe it correctly for emitted fermions, you get an anti-memory, which makes the condensate not accelerate in a superradiant form. It rather has the memory to not do it.”
Ketterle, Formaggio, and Jones have met on numerous occasions to talk through the original neutrino laser proposal, and Ketterle’s challenge to it.
“I suspect that someday, someone will do the experiment,” Formaggio says. “Nature, as always, is the final arbiter of such things. And here I would be remiss to not point out that every prior prediction about neutrinos has been wrong. The one thing about neutrinos that never surprises physicists is that they never fail to surprise.”
In part, Ketterle agrees:
“Creative ideas and discussions among scientists are needed to uncover nature’s surprises,” he says. “But in the case of neutrino lasers, the surprise was too good to be true.”
This research is supported, in part, by the National Science Foundation, the Center for Ultracold Atoms, the Vannevar-Bush Faculty Fellowship, the Gordon and Betty Moore Foundation, and the U.S. Army Research Office.
Atlas of the brain’s striatum could guide researchers to new drug treatmentsA new study reveals insights into populations of neurons affected by Huntington’s disease, schizophrenia, addiction, and other disorders.A region of the brain called the striatum is critical for many cognitive and motor functions, including decision-making, control of movement, habit formation, and processing of reward. It also plays a role in addiction and is significantly affected by Huntington’s disease, schizophrenia, and other disorders.
In work that could help scientists devise new treatments for those diseases, MIT researchers have generated a new atlas of the neurons found within the striatum. Using single-cell RNA sequencing and other techniques, they were able to identify 31 subgroups of neurons based on which genes they express.
These groups include neurons that are involved in addiction, depression, and schizophrenia. The researchers also discovered why some neurons of the striatum are more vulnerable to Huntington’s disease. All of these results, the researchers say, could help scientists develop new drugs to combat these conditions.
“We see this as the foundation that will allow more studies in our Huntington’s disease and opioid use disorder projects. We needed a roadmap of what is there,” says Myriam Heiman, the Picower Professor of Neuroscience and director of MIT’s Picower Institute for Learning and Memory.
Heiman; Manolis Kellis, a professor of computer science in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and a member of the Broad Institute of MIT and Harvard; and Dana Gabuzda, a principal investigator at Dana-Farber Cancer Institute and a professor of neurology at Brigham and Women’s Hospital and Harvard Medical School, are the senior authors of the study, which appears today in Cell. MIT postdoc Raleigh Linville and MIT graduate student Benjamin James are the paper’s lead authors.
Mapping the striatum
The striatum, located deep within the brain, receives diverse inputs from the cortex, midbrain, hippocampus, and other regions, which it uses to coordinate planning, movement, and decision-making, as well as processing reward. In this study, the researchers focused on the most populous cell type in the striatum, a type of inhibitory neuron called the medium spiny neuron, which responds to dopamine.
Most of these medium spiny neurons belong to either the direct pathway, which helps to promote movement, or the indirect pathway, which suppresses unwanted movements. These pathways are distinguishable by what type of dopamine receptor they express — dopamine receptor 1 (D1) or dopamine receptor 2 (D2).
Beyond these two divisions, scientists knew that there were many subpopulations performing different roles, especially in the anatomically ventral (lower) regions of the striatum. However, it has been difficult to generate a consensus on how to classify these cells, in part because prior studies focused on specific subregions, meaning that overarching principles of striatal cellular organization were lacking.
To overcome that challenge, the researchers worked closely with brain banks in the United States and Canada to collect postmortem striatal samples representing diverse anatomical regions.
Then, they used three different techniques to analyze the samples, including single-cell RNA sequencing — a method that can measure RNA molecules within individual cells to reveal which genes are being expressed. Two additional techniques — multiplexed fluorescent in situ hybridization and spatial transcriptomics — allowed the researchers to identify spatial principles of organization within the tissue.
Using these techniques, the researchers were able to identify 31 different subpopulations of neurons, including nine types of medium spiny neurons. Among their medium spiny neuron types are two “outlier” populations that appear to play important roles in schizophrenia, substance use disorder, and depression.
One of those populations, known as D1 outliers, showed high expression of genes involved in addiction and substance use disorder, especially genes related to opioid response. Another population, called D2 outliers, showed high expression of genes that respond to antidepressants. And, both populations appeared to respond strongly to clozapine, an antipsychotic drug used to treat schizophrenia.
Clozapine is among the most effective antipsychotics available, but it’s not widely used in the United States because it can cause a fatal blood disorder in a small percentage of patients. Now that researchers know which cells the drug acts on, they may be able to design more targeted therapeutics to overcome psychosis, but without the harmful side effects, Heiman says.
Huntington’s vulnerability
Another key finding of the paper helps to shed light on why the dorsal (upper) part of the striatum is more vulnerable to Huntington’s disease. The disease is caused by an inherited version of the huntingtin gene that carries too many repetitive DNA segments, called CAG repeats.
The researchers found that dorsal populations of medium spiny neurons express higher levels of the genes MSH2 and MSH3, which play a role in increasing the number of CAG repeats found in the huntingtin gene. As more of those repeats accumulate, the mutated version of the huntingtin protein becomes more harmful to cells.
The researchers also found that a rare population of medium spiny neurons that forms island-like structures in the ventral striatum was more resistant to the accumulation of CAG repeats. Further study of this class of cells might help researchers learn how to induce other medium spiny neurons to become more resistant to the disease, Heiman says.
“Looking at the genes that these neurons express or don’t express might give us some clues as to how to make other medium spiny neurons resilient like them,” she says.
Insights into substance use disorders
The researchers also compared their findings from human tissue samples to samples from mice and found several differences, especially in the expression of genes related to drug response and substance use disorders. One such gene, which encodes the mu opioid receptor (OPRM1), is highly expressed in the human D1 outlier population, but not in the corresponding population of neurons in mice.
This means that standard mouse models may not fully capture the biology of opioid responses, and that engineering mice to express this receptor in a similar manner to humans could make those models significantly more accurate.
“Some of the diversity we’re seeing in the human ventral striatum is species-specific and has implications for modeling substance use disorder in rodents,” Heiman says. “Now that we understand better the species differences, we can use the rodent models for specific questions that apply for conserved genes, but we could also think about humanizing some models.”
The researchers hope that this map, built from tissue contributions by brain donors and their families, and assembled across disciplines and institutions, will provide an important starting point for researchers pursuing new treatments for some of the most difficult-to-treat brain disorders.
The research was funded, in part, by the National Institutes of Health, the G. Harold and Leila Y. Mathers Charitable Foundation, the Freedom Together Foundation, the Natalia Mental Health Foundation, the Biswas Family Foundation, and the Milken Institute.
Archived: Building 18 UpdatesFrom Thursday, August 27th through Sunday, August 30th, MIT Emergency Management posted the following messages on emergency.mit.net regarding an incident at Building 18. As that resource is intended for active issues, these updates, which reflect MIT’s public information on this topic, are archived below.
Building 18 to reopen at 6 a.m. Monday
Aug. 30, 2026, 10:16 p.m.
Appropriate decontamination protocols have now been completed in the lab space of the student who reported attempting the synthesis of dimethyl mercury. Given the actions we have taken and the information received, as well as consultations with industrial hygienists, medical experts at MIT Health, and outside experts, it is our assessment that it is now safe to reopen Building 18. The building will reopen at 6 a.m. tomorrow, Monday, August 31.
Decontamination of the sealed suite in the impacted residence hall has also been successfully completed. The residence hall, which was never closed, remains open. For a campus map, visit https://whereis.mit.edu.
Building 18 - update— Aug. 29, 2026, 3:36 p.m.
Offices across campus have been responding to a reported hazardous material incident involving a single individual in a chemistry laboratory. The Institute became aware of the matter after the individual, a graduate student, self-reported to a local emergency room and claimed to have synthesized dimethyl mercury, a compound that is not authorized as part of their research program. Emerging information calls into question whether this compound was in fact synthesized. We are also able to disclose, with the student’s permission, that while the student remains under medical supervision, their initial blood test result, which was received today, shows no sign of exposure to mercury.
Building 18 remains closed at least through Sunday as specialized decontamination efforts continue out of an abundance of caution. This work will continue, and the building will remain closed until the work is complete.
Also out of an abundance of caution, high-touch surfaces in the common areas of the individual’s residence hall were professionally cleaned under the supervision of MIT Environmental Health and Safety (EHS), and decontamination of the resident’s sealed unit is ongoing, as has been shared with residents of the building. The residence remains open and in normal operation, and no restrictions have been placed on the building.
With a focus on public health, decontamination efforts have been ongoing and baseline testing was offered to individuals who were in proximity to the student and their work environment on Wednesday, August 26. As the chemistry department, industrial hygienists, MIT Health medical experts, and other resources consulted collect additional information, we continue to believe there is a very low risk of secondary or tertiary exposures. At this time testing is not recommended by MIT Health officials for any members of the community who did not enter the individual’s lab space on Wednesday.
We continue to gather information about this situation and will update this page if we have more to share. For a campus map, visit https://whereis.mit.edu
Building 18 - update— Aug. 28, 2026, 11:21 a.m.
Building 18 remains closed today as specialized decontamination efforts continue out of an abundance of caution. This work will continue throughout the day, and the building will remain closed until the work is complete.
It remains the case that, based on the information available, this was a localized issue with only one student directly exposed, and this student was the individual working with the compound. Their reported use of the material was unauthorized.
As has been shared with those who work in the building, based on the information available to the department, industrial hygienists, MIT Health medical experts, and other resources consulted, the risk of secondary or tertiary exposures is low, given the compound's characteristics and the information available. For a campus map, visit https://whereis.mit.edu
Building 18 closed— Aug. 27, 2026, 1 p.m.
Out of an abundance of caution, Building 18 is closed for the day following notice of an individual exposed to a hazardous material in a second floor laboratory. City emergency responders were on scene overnight, and cleanup is underway. Building occupants will be notified when the building reopens.
An investigation into the incident is ongoing.
Focused outreach is underway for those who access the impacted laboratory. Support resources are available for members of the MIT community. A comprehensive list of student support resources is accessible at https://doingwell.mit.edu/support/. MyLife Services is among the resources available to all others on campus, with more information at https://health.mit.edu/mit-mit/employees/employee-support-programs.
This page will be updated when the building reopens. For a campus map, visit https://whereis.mit.edu