Implantable device uses ultrasound to improve drug delivery to the brain

Patients with glioblastoma, an aggressive type of brain tumor, usually undergo surgery to remove the tumor. However, it’s difficult for surgeons to remove all of the cancer cells, and the tumor often recurs.

MIT researchers have now designed an implantable drug-delivery device that they hope could help prevent recurrence of glioblastoma. Their device contains a reservoir that can release drugs over an extended period, along with ultrasound transducers that use sound waves to help drugs spread farther through the brain and bypass the blood-brain barrier.

Such a device could be implanted in the brain during surgery, then gradually release drugs that would help kill the remaining tumor cells. After implantation, a wireless controller can be used to program the exact ultrasound dosages to be delivered, enhancing the reach of the delivered therapy.

“We have 24 transducers in one ultrasound array, which can help a given drug bypass the blood-brain barrier and enhance the drug infusion. The device also gives doctors options in terms of the size, the length, and the number of infusions,” says Canan Dagdeviren, an associate professor of media arts and sciences at MIT and the senior author of the study.

In a paper appearing today in the journal Device, the researchers showed that their ultrasound device allowed molecules to spread further after being released, in tissue models and in a mouse study. 

MIT graduate student Sarah Ornellas and Jason Hou PhD ’26 are the lead authors of the study.

Enhanced by ultrasound

Glioblastoma is a rare but deadly cancer, with a little more than 10,000 cases diagnosed in the United States per year. On average, patients survive 12 to 15 months after diagnosis. Patients typically undergo surgery to remove as much of the tumor as possible, followed by radiation and chemotherapy.

Chemotherapy drugs are usually given either as pills or an intravenous infusion, but in recent years, scientists have developed drug-delivery wafers and hydrogels that can be implanted directly in the skull. That can help to eliminate the side effects of chemotherapy and ensure that a higher concentration of the drug reaches the brain.

Those devices work by passive diffusion of drugs, but the MIT team wanted to design a new device that would allow for greater control of the timing of drug release. They also wanted to incorporate ultrasound arrays to enhance the distribution of drug molecules. 

Previous research has shown that ultrasound helps drug molecules to disperse more widely, by creating convective flows that help travel them longer distances. The mechanical oscillations generated by ultrasound waves also temporarily increase the permeability of the blood-brain barrier, helping drug molecules get into the brain.

Dagdeviren had previously designed a tiny cannula, about as thin as a human hair, that could be implanted in the brain to deliver drugs. She also built an implant called ImPULS, which uses tiny ultrasound transducers to deliver deep brain stimulation.

In the new study, her lab combined these technologies to create LUCID (Long-term Ultrasound-enhanced Convective Injection Device) — a flexible implant as thin as a sheet of cardstock. A drug-delivery cannula is 3D-printed directly onto an array of 24 miniature ultrasound transducers. These transducers generate ultrasound waves right at the tip of the needle, helping drug molecules to diffuse farther into tissue after they are released.

“Getting a drug into the brain is only part of the challenge. It also needs to spread through the surrounding tissue. We brought a delivery channel and a tiny ultrasound array together in one implant to help molecules reach a larger area, even during slow infusion,” says Hou.

The implant’s reservoir carries about 100 microliters of fluid, and infusion is supplied by a passive osmotic pump, while ultrasound can be controlled wirelessly through Bluetooth. The device also contains a small battery that can be recharged wirelessly. 

In tests in a “tissue phantom” — a gel-like material engineered to mimic human tissue — the researchers showed that ultrasound-aided delivery spread drug molecules much farther than when the drugs were delivered without ultrasound. 

“By enhancing that distribution locally and programmably with ultrasound, you can reduce systemic toxicity in nontarget organs, while the therapy that you’re using has a better chance of reaching whatever tumor cells are within the affected area,” Ornellas says.

Wider distribution

The researchers also tested their system in mice, using it to deliver an MRI contrast agent. When the ultrasound array was activated, the contrast agent spread further through the brain than when ultrasound was not used.

If developed for use in patients, the drug cannula and ultrasound array would be placed inside the skull, while the part of the device containing the battery and other electronics could sit outside the skull, the researchers say.

In addition to delivering small-molecule drugs, this technology could also be used to deliver immunotherapies or nucleic acids, including gene therapies. It could also be potentially used in organs other than the brain.

“We started with the brain as a follow-up to our ImPULS technology, but eventually this can be used for other soft tissue treatments for different types of drugs, different types of interventions in deep body tissue,” Dagdeviren says. “We are showing that we can make any kind of payload be distributed in a better way.”

Other authors of the paper include Michal Nowicki, a research associate at Massachusetts General Hospital; Jerry Li, a recent graduate of Harvard University; Heloise Leblanc, a graduate student at Boston University; Betul Serra Tulu, an MIT undergraduate; David Sadat, a research specialist at MIT; Marco Mineo, an instructor in neurosurgery at Harvard Medical School; Steve Ramirez, an associate professor of psychological and brain sciences; and E. Antonio Chiocca, a professor of neurosurgery at Harvard Medical School and Massachusetts General Hospital. 

The research was funded by the MIT Media Lab Consortium and the National Institutes of Health.

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Watch the universe emerge from the dark ages, with Lumina

With the Big Bang, the universe burst into existence as a hot and dense soup of electrons and subatomic particles. This primordial ionized plasma, initially smaller than a single atom, rapidly expanded and cooled. In the process, particles in the soup slowed enough to bind with electrons, forming electrically neutral hydrogen. 

As this neutral hydrogen accumulated, the effect was like a shroud, preventing light and other forms of radiation from freely passing through. Around 380,000 years after the Big Bang, the universe was plunged into a cosmic “dark age.” 

Now, a new computer simulation is giving scientists a detailed view of how the first galaxies, stars, and other structures could have unfolded from that time, to eventually pull the universe out of its dark age. 

In a paper appearing today in the Monthly Notices of the Royal Astronomical Society (MNRAS), physicists from MIT, Harvard University, and elsewhere present Lumina — a large-volume, high-resolution simulation that follows the early universe from the dark ages through the next 2 billion years of cosmic evolution. 

Two pivotal transformations

Lumina covers a huge patch of the early universe that spans 500 megaparsecs, or about 1.6 billion light-years wide. In that space, the simulation tracks the evolution of dark matter, gas, stars, and radiation (such as photons), across enormous cosmic scales and also zooming down to the detail of an individual developing galaxy. 

Over the 2 billion years that Lumina simulates, it captures the emergence of two huge transformations in cosmic history: hydrogen re-ionization and helium re-ionization.

Hydrogen re-ionization is a period when early stars were able to push out enough ultraviolet light to interact with neutral hydrogen and strip it of its electron. This “re-ionizing” prevented the hydrogen from absorbing photons, instead allowing light to travel freely. Hydrogen re-ionization helped to lift the veil of neutral hydrogen — a process that Lumina captures in detail for the first time. 

The simulation also tracks helium re-ionization, a process similar to its hydrogen counterpart, in which much higher-energy light breaks apart neutral helium. 

In its detailed simulations, Lumina revealed that hydrogen re-ionization was likely driven by light from early galaxies and stars. In contrast, helium re-ionization was fueled by much more energetic early supermassive black holes in their active, accreting phases. Together, this represents the first time a simulation has captured both hydrogen and helium re-ionization.

“Lumina does everything from small-scale star and galaxy formation to large-scale re-ionization of hydrogen and helium, in a volume that is 100 times larger than previous best simulations,” says study author Mark Vogelsberger, a professor of physics at MIT. 

He and his colleagues are making Lumina available to the scientific community so that scientists can compare its detailed simulations of the evolution of early cosmic structures with snapshots taken by new and future telescopes. Then, they might begin to piece together the processes that shaped the first galaxies, stars, and structures in the universe. 

The study’s MIT co-authors are Xuejian (Jacob) Shen and Teodora-Elena Bluichi. Additional authors include first author Oliver Zier (a former postdoc in the Vogelsberger Lab), Rongrong Liu, Sonja Koehler, and Lars Hernquist of the Harvard and Smithsonian Center for Astrophysics; Aaron Smith of the University of Texas at Dallas; Rahul Kannan of York University in Canada, and Volker Springel and Rüdiger Pakmor of Max Planck Institute for Astrophysics in Germany.

Cosmic computation

Lumina takes its name from the Latin word meaning “lights.” At the heart of Lumina is IllustrisTNG, which was previously developed by scientists at MIT and elsewhere, including members of the Lumina team. IllustrisTNG is a large-scale simulation that tracks the interactions of dark matter, gas, and other processes involved in forming galaxies, from the Big Bang to the present day. 

In building Lumina, the team refined IllustrisTNG’s code to enable the simulation to track the formation of galaxies with the same level of detail but throughout a much larger volume. They combined this leveled-up galaxy model with a model of radiation transport, which simulates how different forms of radiation such as ultraviolet light interact at extremely large, cosmic scales to capture processes such as hydrogen re-ionization. 

The new and improved simulation resolves extremely fine details across huge scales. In practice, the simulation encompasses half a trillion individual elements, including dark matter particles and gas cells, which is about 30 times higher-resolution than IllustrisTNG. Lumina captures all this detail and evolves it forward in time, across an enormous patch of about 500 megaparsecs, which is 100 times larger in volume than previous simulations. 

Running the calculations for every single cell over 2 billions years of cosmic time, and across extremely large and very small scales, involves a significant amount of computing power. The team ran Lumina on Frontier, one of the world’s most powerful supercomputers, based at Oak Ridge National Laboratory in Tennessee. 

“At peak scale, the calculation brings together the equivalent of more than 100,000 CPU cores and around 15,000 GPUs,” says Shen. “Making all of those processors communicate efficiently while continuously evolving trillions of interacting pieces of information is itself an extraordinary feat of computer engineering.”

Full zoom

Lumina begins its simulations at around 45 million years after the Big Bang, in the midst of the dark ages, when neutral hydrogen dominated the early universe. The researchers set the simulation with initial conditions approximating what physicists theorize should have existed in such a dark cosmic period. 

They then let Lumina run to calculate how matter at those times, in the form of gas and dark matter, interacts across the simulation’s half-a-trillion cells. Simultaneously, the simulation calculates where and how radiation, such as ultraviolet light from stars, emerges and interacts with its surroundings.

On the project website, the team provides a number of videos that depict the various scales, time periods, physical processes, and layers of cosmic structures that Lumina simulates. Examples include a “zoom-in” from the full, large-scale patch of the universe to a single, disk-shaped galaxy; and a time-lapse of the full volume, over 2 billion years, that captures the pattern of hydrogen as it is re-ionized over time. 

“On the one hand, it’s evolving dark matter as well as the gas in the universe, and on the other, it’s also tracking how radiation travels,” Zier explains. “We see dark matter and gas start to clump in these over-densities. And when we zoom in, we can see gas is falling into these dark matter haloes. Zooming in more, we see this is where the first galaxies form. And the first stars form in those first galaxies. Those stars then create radiation. The simulation then tracks that radiation, and we can zoom way out to see how that radiation travels out from stars, through the universe, until at some point it ionizes some neutral hydrogen.”

“Other simulations cannot zoom in as far as this,” Vogelsberger notes. “The difference between the smallest and largest scales that we simulate is larger than in any other simulation.”

Looking ahead, the team plans to apply Lumina to map the large-scale structure of the early universe. The simulation can also help to predict the gravitational-wave patterns that early galaxies and black holes might produce. Whatever Lumina simulates could soon be compared with actual observations from new and upcoming telescopes.

“One of Lumina's major advantages is its sheer size,” Shen says. “It produces enormous populations of simulated galaxies, finally allowing us to make comparisons with the very large galaxy samples that upcoming surveys will observe.”

This research was supported, in part, by NASA and the National Science Foundation, and used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy.

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Reinforcing the value of human understanding at MIT

At the MIT School of Humanities, Arts, and Social Sciences (SHASS) 75th Anniversary Symposium, speakers celebrated the school’s value and contributions, while exploring how artificial intelligence is transforming many aspects of teaching, research, and society.

The symposium was held Sept. 24-25 in the Linde Music Building’s Thomas Tull Concert Hall. Scholars, students, staff, and alumni from across SHASS and MIT gathered for the event, which kicked off with welcoming remarks from MIT leadership. 

“How should we think about MIT’s School of Humanities, Arts, and Social Sciences? With enthusiastic appreciation and gratitude,” said President Sally Kornbluth.

The school’s origins date back to the Lewis Committee Report, commissioned by MIT and published in 1949, which called for stronger integration between scientific and technical topics and humanistic scholarship and teaching.

Kornbluth noted that, much like when the school was founded just after World War II, the world faces uncertainty as it grapples with the broad implications of artificial intelligence.

“AI has suddenly arrived with enormous consequences for both research and education,” she said. “As we face the challenges of our own time, and our own society, it’s clear that MIT has never needed your particular insight and guidance more than we do now.”

In opening remarks, Provost Anantha Chandrakasan described the importance of a human-centered approach to technology, one that considers both its efficacy and its impacts. He lauded many of the new research projects happening through the MIT Human Insight Collaborative, a strategic initiative launched in 2024.

“Today — a time of rapid, AI-driven change — the arts, humanities, and social sciences are as important as ever,” he said. “To be able to contribute effectively to solving the world’s great challenges, it is not enough to gain technical mastery.”

Chancellor Melissa Nobles recalled how, during her tenure as SHASS dean from 2015 to 2021, reading the positive feedback from students in their SHASS course assessments reinforced the value of the school’s teaching.

“MIT students have a range of interests that draw them to our classes that may be invisible to their STEM professors, but that we very well know our students have,” said Nobles, who is also a professor of political science.

Agustín Rayo, the Kenan Sahin Dean of SHASS and professor of philosophy, noted that, while research in the school plays a key role in addressing global issues such as climate change and AI, the value of the work in SHASS should not be measured by practical application alone.

“Education should also help us ask what is worth doing, what do we owe one another, and what makes a life worth living,” Rayo said. “Some research matters because it helps us understand the histories, cultures, and social structures that have made us who we are. Some things matter because they enrich human life.”

Scholarship from across SHASS and beyond 

Over the symposium’s two days, research presentations, panel discussions, and performances offered attendees opportunities to engage with the role of SHASS in exploring today’s biggest societal questions.

“We gather not so much to look back over the past 75 years, but to showcase where we are now, and share what we urgently aim to tackle together in the years ahead,” said David Kaiser, Germeshausen Professor of the History of Science and professor of physics at MIT, who also served as chair of the symposium planning committee.

The first day included a session on teaching and learning innovations. Faculty presented on the success of educational programs housed within SHASS, including the MIT Indigenous Languages Initiative Master's Program, the Master in Data, Economics, and Design of Policy (DEDP), and MISTI, the hub for global experiences for MIT students.

Stephanie Seed, associate professor of literature, spoke about why she and others are working to reintegrate classic books into their teaching.

“MIT, of course, is an institution unusually oriented towards the future,” she said. “Our students are trained to imagine and create worlds that don’t yet exist. And it’s precisely this future orientation that makes reading the past especially important here.”

Eric Klopfer, professor of Comparative Media Studies/Writing and co-author of MIT’s recent report on AI and instruction, said this is a moment when instructors must reassess how courses are taught.

“I don’t know exactly what that looks like, but I do think it means something that’s more than modifying our curriculum. I think it really means rethinking what the educational experience is,” he said.

During a session on computing and society, panelists described different views and research into technology and how it affects humans.

“We project aspects of ourselves onto computational systems,” said MIT Professor D. Fox Harrell during his talk about seeing “selfness” in machines. 

“What makes an AI system is not just the code, not just the programming or the algorithm, it’s the fact that we narrate it as being intentional,” he said.

Program in Science, Technology, and Society Professor Sherry Turkle offered a skeptical view of human-technology interaction, particularly with AI chatbots, which she describes as “intimate machines.” 

“If social media came for our attention, I argue that chatbots are coming for our capacity for attachment, which is deeper and much more troubling,” said Turkle.

Professor David Autor, head of the Department of Economics, said it’s an exciting time to be working at MIT, where scholars are collaborating to explore AI’s impact on society.

“I don’t think there’s a close analogy to a moment when everyone felt the world change so quickly,” he said. “The stakes feel incredibly high.”

Celebrating the arts and engaging with the future 

The first day concluded with a rousing Music and Theater Arts performance showcase, which began with an excerpt from Stan Lai’s “A Dream Like A Dream,” a play directed and performed by students and instructors in class 21T.100 (Theater Arts Production).

“Variations on the Theme of SHASS 75,” a piece choreographed by Dan Safer, senior lecturer and director of dance programs, combined movement, lighting, and music in a celebration of both the human body and the school’s milestone anniversary.

Student and faculty musicians from a variety of styles and disciplines shared the stage, including Rambax MIT, MIT Concert Choir, and the MIT All-Star Jazz Combo. The showcase included stirring renditions of “Madrigal,” composed by Vice Provost for the Arts Keeril Makan, and “Prayer for Peace.”

On the second day of the symposium, several alumni presented on their current work and the impact of their SHASS experiences.

Jessica Coon PhD ’10, now a professor of linguistics at McGill University, spoke about the leading role MIT Linguistics plays in preserving endangered languages, and how her studies at MIT prepared her to carry on that work.

“SHASS gives us the tools not just to conduct research, but to communicate the impacts of this research across a variety of different audiences and in different ways,” she said.

Ankita Reddy ’19 double-majored in anthropology and biology and is now an MD/PhD student at the University of Pennsylvania. She highlighted her most impactful SHASS courses, including 21A.308 (Global Mental Health).

“This was the first time I was forced to consider how good health care looks different based on social systems and cultural practices,” she said. “SHASS made me more comfortable with, and more curious about, complexity.”

During the symposium’s final session, panelists engaged in a conversation about AI, art, and the implications for creatives in an era where their art can be co-opted and copied. 

“There’s so much praise for new and upgraded technologies,” remarked associate professor of literature Sandy Alexandre. “The question I consistently have is: What does it mean to be an upgraded human being? How are we innovating as technology is innovating?”

Philosopher Justin Khoo said AI’s role in art could be considered a “giant paint brush you don’t have much control over,” adding he could see the creation of new sub-genres of art that are human-only, AI-infused, and purely AI, for example.

Khoo closed by saying he encourages students to “think broadly, and really take seriously the humanistic education here at MIT.”

“A broad understanding of a set of concepts which are widely applicable, not just narrowly applicable, I think that’s what we need more than ever now,” he said.

As the symposium came to a close, attendee Kent Sahin praised the event.

“I’ve attended every session, and this is a fantastic program and a great celebration of the 75th anniversary,” he said. “Clearly, whether it’s AI impact, the impact of climate change, or the impact of political and social change, SHASS is in the right place at the right time.”

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Gunter Stein, control systems and theory expert, dies at 84

Gunter Stein, an expert on control systems and theory who was a longtime MIT adjunct professor and researcher who also worked at Honeywell Labs, died on July 11 in his home state of Minnesota. He was 84 years old. 

Throughout his career, Stein helped to reconcile competing schools of thought surrounding automated control systems, and he worked helped usher in an era of robust multivariable control.

Born in Germany, Stein emigrated with his family to the United States at a young age. The son of a tool and die maker at Fisher Body Works, Stein earned his BS from the General Motors Institute (now Kettering University) in Flint, Michigan, and his MS and PhD in electrical engineering from Purdue University in 1966 and 1969, respectively. He then joined Honeywell Labs, where he spent a more than 50-year career developing systems including aircraft flight controls, spacecraft altitude and orbit controls, and other navigation and control systems for applications as varied as launch boosters, reentry vehicles, ship positioning systems, torpedo engines and autopilots, and precision guided weapons. 

As an engineer at Honeywell, Stein’s incisive and rigorous way of approaching problem-solving quickly garnered attention, catching the eye of the then-director of the MIT Laboratory for Information and Decision Systems (LIDS), Michael Athans, when the laboratory and Honeywell began cooperating on a NASA contract to design the controls for the F-8 aircraft. Stein’s submission on behalf of Honeywell was, at the time, labeled the “most conservative” of the potential submissions, but eventually became the only control system successfully flight-tested. 

Noting Stein’s talent, Athans approached Stein with a pitch to join MIT in 1977. As Stein’s career and personal life were by that point deeply rooted in Minnesota, he was not interested in relocating full-time, but agreed to an adjunct position with the Department of Electrical Engineering and Computer Science (EECS), where he would spend one week per month giving lectures, helping advise graduate students, reading PhD theses, and acting as a principal investigator in LIDS. This arrangement would continue for the next 30 years, and would deeply shape MIT’s overall approach to control theory. 

“Stein immediately struck me as a brilliant engineer,” says Munther Dahleh, the William A. Coolidge Professor in EECS and a member of LIDS, who at the time of Stein’s arrival was a newly hired junior member of the faculty. “As a naive researcher who was more of an applied mathematician than a real engineer, I was struck by how Gunter could see through the mathematics and distill what was truly essential for applications.” 

As Dahleh’s career developed — he would eventually become an associate department head of EECS and the founding director of the Institute for Data, Systems, and Society — his regard for Stein only grew: “Through Gunter’s work at Honeywell and his collaborations with students and faculty at MIT and other universities, robust control entered virtually every area of control applications. He shaped the direction of our field for decades, and his ideas remain a driving force behind many of today’s control applications.”

“Gunter came to LIDS at a propitious time,” says Nils R. Sandell Jr. SM ’71, EE ’73, PhD ’74, who co-taught class 6.291 (Classical and Modern Methods for Control System Design) with Stein. “With the experience on the NASA project and on others, the emphasis had begun to shift from optimal control to robust control. Gunter was a key part of this evolution, with his keen insight, based on extensive experience, of how classical frequency domain control techniques for single-input, single-output systems dealt with model uncertainty.” 

Over the course of the next decades, Stein would work on systems for the B-2 bomber and F-47 aircraft, and for many years would serve as a member of the U.S. Air Force Scientific Advisory Board. “I can attest that, decades later, the flight control design methodology that Gunter and his colleagues at Honeywell developed is still being applied to our most advanced aircraft,” says Sandell. 

Alan Willsky, the Edwin Sibley Webster Professor of EECS (Emeritus), remembered his colleague at LIDS as both a practical and a theoretical force: “Gunter was one of the giants of automatic control. His work at Honeywell on advanced control systems is legendary, but what is equally impressive is his impact on control theory and his influence on generations of control researchers. The period of years when he split time between Minneapolis and MIT had major influences on how control is taught and researched here at LIDS.” 

Years of working with uncertainty and multivariable systems led Stein to think carefully and deeply about famous failures of engineering, including the nuclear reactor disaster at Chernobyl that captured the world’s attention in 1983. Stein saw the disaster as a stark warning to all designers of control systems, not only for nuclear power plants but for aircraft, spacecraft, and indeed all systems “with automatic controls that cannot be done manually and that, if done improperly, can have dire consequences for property, the environment, and human life.” 

In his highly influential 2003 Bode Lecture and essay for Control Systems Magazine, entitled “Respect the Unstable,” he wrote: “We must place renewed emphasis on stating and teaching the principles of our subject clearly and well. The applications out there are simply too serious for us to hide from responsibility under a cloak of mathematics.” Of that famous lecture, Dahleh muses, “his Bode Lecture, which marked the first time the award was given, solidified my view of his remarkable ability to understand very different applications from a common fundamental perspective ... He showed how the challenges posed by complex control engineering systems, from agile aircraft to the Chernobyl disaster, could be understood through the same fundamental ideas that explain the difficulty of controlling an inverted pendulum. Thirty years later, his lecture remains one of the most-cited Bode Lectures and one that has had a clear impact on our community.”

Among other honors, Stein was elected fellow of the IEEE in 1985; awarded the IEEE Control System Society's first Hendrik Bode Prize in 1989; elected to the National Academy of Engineering in 1994; and awarded the International Federation of Automatic Control's Nathaniel Nichols Prize in 1999. 

His impact on the field of control engineering is also measured by the regard of his colleagues, who uniformly remember him as warm, social, and deeply conscientious. 

“Gunter was a great engineer — the greatest I have known — and he was also a great human being,” says Sandell, who notes the great passion with which Stein, in the Bode lecture, enumerated his responsibilities toward society as an engineer. 

“On a personal level, Gunter was incredibly humble and unassuming, and always ready to offer help and support whenever asked,” says Dahleh. “He was a giant in our field and played a major role in shaping it. I am deeply grateful for the opportunity to have learned from him and to have had him as a colleague. He will be dearly missed.”

Predeceased by his parents and wife Nancy, Stein was survived by partner Ann Wynia, siblings Gerry (Lynn) Stein and Gisele Davis, and by many nieces and nephews. A skilled sailor and lifelong outdoorsman, Stein spent much of his life exploring the various coastlines and seas of the world, and the forests and lakes of his native Minnesota. Memorial donations can be made in Stein’s name to the Minnesota Nature Conservancy. 

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Persistence, teamwork, and some healthy competition

When Veronica Calzadilla Sosa transferred to MIT from Miami Dade College in Florida, she was an incoming second-year student with an interest in chemical engineering. She didn’t know how involved she would soon become as a student leader in the department.

She would also go on to discover her competitive side.

At the encouragement of a friend who was then a team captain, Calzadilla Sosa joined MIT’s chapter of American Institute of Chemical Engineers, and the two worked with the Department of Chemical Engineering to build up the team of students representing MIT in the organization’s lively chemical engineering competitions. As the organization’s competition chair last year and the vice president of external relations this year, she has fallen in love with the club and found joy in bringing students together to work toward a common goal and have fun along the way.

When she first took on the role, MIT was new to the competition, and students were participating in only one of several events. Now, they participate in three categories: ChemE Cube (where teams build a miniature chemical plant that fits inside a 1-cubic-foot cube), ChemE Jeopardy (a “Jeopardy!”-style trivia competition), and ChemE Sports (where teams operate and optimize a virtual chemical plan). 

Calzadilla Sosa also captained MIT’s first ChemE Sports team, working alongside two first-year students. At their first competition, their challenge involved optimizing a distillation column, drawing on concepts Calzadilla Sosa was learning in her separation processes class. The team placed second at regionals.

“The competition was challenging, technical, and at times stressful, but also incredibly fun and rewarding,” she said after the event. “Experiences like this remind me how much engineering extends beyond technical knowledge alone.” 

For Calzadilla Sosa, the experience was about more than the result. It gave her the chance to take on a leadership role, work through unfamiliar problems with her teammates, and help create an opportunity for students who might not otherwise have participated.

Building community has been particularly important to Calzadilla Sosa, who began her undergraduate education in Cuba before moving to the U.S. When she later transferred to the Institute after earning her associate degree from Miami Dade, where she was part of the Honors College, “I was a sophomore for the third time,” she jokes. At that point, many of her new classmates had already spent a year getting to know one another and finding their footing.

She began to find her place in an unexpected setting: office hours.

During her first chemical engineering class at MIT, Calzadilla Sosa regularly went to office hours for help with difficult problems. She soon noticed that she was not the only one struggling.

“I was there because I was struggling with a problem, but then I would see more people also struggling with the same exact things,” she says. “And that, for some reason, gave me this idea that I wasn’t alone in that sense.”

Those shared struggles became a starting point for conversations, friendships, and a support system. She learned that finding a community did not necessarily mean having everything figured out. 

“Sometimes you find your community simply by allowing yourself to struggle alongside other people,” she says.

Throughout her undergraduate experience, Calzadilla Sosa has also explored the many ways chemical engineering can be applied beyond the classroom. 

While studying in Miami, she interned with the U.S. Food and Drug Administration, analyzing data on toxic elements in food, and with the engineering consulting firm Jacobs, where she learned about water and wastewater infrastructure projects in the county. As an MIT student, she has been a materials intern at the medical device company Convatec, and a materials chemistry/chemical engineering intern at the startup Folia Materials. 

In the process, she has gotten a closer look at different industries and begun to figure out which ones interest her most. At MIT, she has become particularly interested in energy systems and how existing resources and infrastructure can be used more efficiently.

“I think exploring different areas is very valuable,” she says. “I find myself thinking ‘Maybe I could do this or I could do that. Maybe I don’t like this. Maybe I prefer doing another thing.’”

Outside of her studies, Calzadilla Sosa enjoys cooking and baking for family and friends, traveling, and going to concerts and dance performances. She also likes bringing people together, especially when she returns to her first home in Cuba and has the chance to reconnect with loved ones.

As graduation approaches, Calzadilla Sosa is excited to leave student life behind and see where her degree takes her. She has not settled on one career path, but she is comfortable with that uncertainty. After studying at multiple institutions and exploring different corners of chemical engineering, she knows there is still plenty left to discover.

“I spent so many years as an undergrad, so I’m really excited to go to industry and take that next step and see the results of my education,” she says.

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This design software reimagines everyday objects as self-aware devices

As a child, you likely saw a few Disney movies depicting inanimate objects, such as clocks, cups, and toys, as interactive companions to humans — an act of pure magic, seemingly. But scientists at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are now doing something similar: transforming stationary items into self-aware tools that perceive and respond to human motion to complete a task.

Engineers have 3D-printed these dynamic items with built-in sensing, using conductive materials for sensors and traces (sort of like wires) inside. The issue: both components were typically fabricated using the same material, so they’d emit similar signals. It’s sort of like hearing two radio stations at the same time, a mixup that’s hard to interpret. This confuses, say, a glove that relays instructions to a robotic hand about how to handle a specific object. The device couldn’t filter out the noise or verify the angle of a user’s motions, leading a humanoid student to make errors.

Researchers at CSAIL and Tianjin University (TJU) in China may have found a way to 3D print more precise interactive items. With their “X-Hinges” software, users can customize a design, and the tool will automatically embed two different materials: a filament for the sensors designed to send the strongest signal possible, and another for the wire-like elements that don’t interfere. Interactions won’t get lost in translation, meaning users can fabricate objects that respond in real-time, such as small robots, household decor, object-detection systems, and toys.

With X-Hinges, users can put together an item by selecting and connecting different shapes, then choosing how certain parts move. The item won’t be limited to moving in just one way like previous approaches; instead, users can select up to three “axes:” compressing, up and down, or to the sides. Building a robotic hand, for example, you’d likely want its fingertips to move vertically and laterally. The new tool would then embed sensors where the object bends (in this case, its joints) to capture motion data from both angles. That way, the device can understand and respond to your interactions more dynamically once it’s 3D-printed.

“It’s kind of like adding a conscious element to everyday objects,” says Jiaji Li, MIT electrical engineering and computer science (EECS) postdoc and CSAIL researcher, who is a senior author on a paper introducing the work. “What you get is objects that better understand how they’re being used and have more ways to respond. In the same way an AI agent is programmed to make certain decisions based on our instructions, these creations have built-in sensing to adaptively react to human touch.”

Jiaji Li and lead author Xiang Chang, a TJU PhD student and visiting researcher at CSAIL, used X-Hinges to create many clever devices. For example, they made a glove that can teach a robot how to grasp blocks. It adjusts to the size of a user’s hands, then records how the joints in their fingers bend via sensors before rapidly relaying that information to a humanoid hand to mimic it. The glove could be useful in factories or homes, where a robot often needs to learn new interactions quickly.

The researchers also produced a small, origami-style lamp using X-Hinges. It senses when a human pinches it closed and adjusts its brightness accordingly. When you turn on this adaptive, portable light source (sort of like a reading light), it looks like a piece of folded-up paper that sprouts into a lamp.

X-Hinges can even assemble devices that identify which objects have been placed on it. You could put a banana on top, for instance, and it’ll recognize the fruit almost immediately based on the tactile data it’s recorded using its sensors. This advanced physical awareness could be integrated into detection systems in places such as airports and grocery stores. 

Behind each of the scientists’ creations is an easy-to-use interface that helps you design interactive objects from scratch. Users can choose how each part of their design looks and moves, just as the researchers did when making a video game controller that resembles a cartoon shark.

X-Hinges gives you four shapes to choose from: a custom option, cylinder, rectangle, and thin outline. To recreate the unique look of a shark’s tail, the researchers designed their own shape. They then chose how the toy bent, opting for its tail to move up and down, sort of like a joystick. Finally, the program embedded the sensors, and the scientists 3D-printed their device.

The researchers say that X-Hinges’ diverse motions are a novel feature compared to past attempts to 3D-print responsive everyday objects. “Most methods only allow for one axis of motion, often due to signal interference. X-Hinges enables your 3D-printed item to move from three angles,” says Chang. “Ultimately, you get a design with the intended movement you want. It also records motion data in each of those areas at the same time, making the device responsive to different kinds of interactions.”

The tool could help realize the untapped potential of the seemingly mundane. Objects we use every day for a specific purpose, like a water bottle for drinking or a lamp for lighting, could become interactive gadgets. Much like how a chatbot uses a sort of digital intelligence to answer your prompts, an object could leverage a kind of physical intelligence to execute a physical task when users interact with it.

For now, though, X-Hinges faces a calibration bottleneck. Each time an item is 3D-printed, its layout of electrical elements varies slightly, so two devices that appear identical from the outside may not make the same sensor readings. This is crucial if you’re building a deformable fitness glove, for instance, for two separate users. To fix this, Chang and Li built a computer vision system that can recalibrate outputs to align, ensuring data is accurate across two of the same items, although they hope to develop a built-in signal recalibration mechanism in the future.

That ambition traces back to the throughline in Jiaji Li’s own research: letting actuation and sensing “grow” directly inside a 3D-printed object, instead of adding them on afterward. He previously built printed tendon-driven mechanisms that gave objects the ability to move; X-Hinges is how he’s now building on the ability to sense. The next step, he says, is combining the two in a single print — it’s actuation and sensing born together in the same fabrication process, opening the door to new physical platforms for embodied intelligence and AI agents.

Chang and Li wrote the paper with MIT associate professor of EECS and CSAIL principal investigator Stefanie Mueller and recent TJU graduate Haiyang Yan. Their work was supported, in part, by a postdoctoral research fellowship from Zhejiang University and the MIT-GIST Program.

The researchers will present their work at the ACM Symposium on User Interface Software and Technology in early November.

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MIT’s Kavanaugh Fellowship: From invention to impact

Entrepreneurship and MIT have become a classic pairing, with a storyline that seems to write itself: A researcher develops a brilliant innovation in the lab, spins out a company, and brings a product to market that saves lives or improves society. It happens, sure — but long-term startup success is far from guaranteed.

That’s the challenge that prompted the launch of the MIT Kavanaugh Translational Fellows Program a decade ago, giving scholars who want to turn academic research into solutions to pressing challenges the time, tools, and business training to improve their chances of success.

“MIT has this world-class research facility and faculty and everything, but it also has world-class entrepreneurial programs,” says Nick Diaco, an MIT postdoc and 2025 Kavanaugh Fellow, in a new video about the program. “You really need both if you actually want to take an idea from the lab and put it into the real world and put it into situations where it’s actually affecting people’s lives.”

The program’s focus reflects a fundamental challenge for academic innovators: developing a promising technology is only the beginning. Turning it into a viable business requires making difficult decisions about customers, markets, financing, and other factors that may fall outside a typical researcher’s expertise.

“Even in a place like MIT, the majority of those people who choose to start businesses or bring that product to another business, the majority are going to fail,” said philanthropist Bart Kavanaugh at a May event announcing the 2026 fellows. Kavanaugh is one of the namesakes of the Saks-Kavanaugh Foundation, which supports the fellowship. He and his wife, Betty Saks, run the organization.

The foundation, he explained, analyzed what distinguishes successful startups. The selection process for the fellowship, he told the three new fellows — John Zhang, Maximiliano Jara Fornerod, and Xinyuan Zhang — is intended to identify researchers who have the potential to succeed.

The three are developing technologies ranging from a faster way to manufacture custom optical lenses to at-home strep throat tests and infrared detectors that can operate without energy-intensive cryogenic cooling.

They join a growing legacy of Kavanaugh Fellows whose research has moved toward commercialization, including Sublime Systems, a manufacturer of low-carbon cement; SiTration, which develops technology for extracting materials; and Stratagen Bio, which develops tools for quantitative biomarker assessment.

The yearlong program, managed by MIT’s Department of Materials Science and Engineering, gives MIT scholars time to focus on the business side of their ideas and develop the planning and decision-making skills needed to move promising research beyond the lab.

“If while you’re doing your research, you’re able to set aside some time to investigate the commercial potential before you leave the university, you get a really good picture on, 'is this a good idea for commercialization?'” says Diana Mojahed in the video. Mojahed was a postdoc at MIT when she became a 2023 Kavanaugh Fellow and is now the CEO of Lightfinder, which makes handheld spectrometers for health care, manufacturing, and telecommunications.

“It’s so much more than just achieving good specs with whatever you’re trying to achieve. There has to be a market for it. The unit economics need to work out. There’s a lot that goes into building a company.”

Learn more about the Kavanaugh Translational Fellows Program.

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