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Founded in 1861, MIT has a proud history of influencing the world through technological leadership and research innovation. MIT is one of the world’s preeminent research universities: renowned for rigorous academic programs in science, technology, and other areas of scholarship; cutting-edge research; a diverse campus community; and a longstanding commitment to working with the public and private sectors to bring new knowledge to bear on the world’s complex challenges.

Abigail Dzordzorme conducts research in the Walt Lab for Advanced Diagnostics, which specializes in ultrasensitive detec...
05/30/2026

Abigail Dzordzorme conducts research in the Walt Lab for Advanced Diagnostics, which specializes in ultrasensitive detection platforms that can spot signs of infectious diseases.

As a PhD student in the MIT Institute for Medical Engineering and Science (IMES), Dzordzorme’s research is focused on adapting these platforms for use in low-resource settings to enable easier and earlier diagnosis of infectious diseases. Her current project is developing a field-deployable, ultra-sensitive diagnostic workflow to predict HIV viral rebound from patient plasma samples.

Dzordzorme says her goal is to build a career developing and deploying diagnostics that address gaps in health equity. “Diagnostics are often the first point of contact for a patient on the way to treatment, and their limitations create the boundaries of what medicine can do,” she says. “I hope to pursue opportunities that allow me to expand those boundaries, particularly in underserved settings.”

https://imes.mit.edu/news-events/imes-community-profile-abigail-dzordzorme

A team, including researchers in MIT EECS Department, developed a system that boosts the performance of storage devices ...
05/29/2026

A team, including researchers in MIT EECS Department, developed a system that boosts the performance of storage devices by handling three major sources of variability simultaneously. Their approach delivers significant speed improvements over traditional methods that tackle only one source of variability at a time.

The method, which can adapt in real-time to shifting workloads, does not require specialized hardware. When the researchers tested this system on realistic tasks like AI model training and image compression, it nearly doubled the performance delivered by traditional approaches. By intelligently balancing the workloads of multiple storage devices, the system can increase overall data center efficiency.

https://news.mit.edu/2026/helping-data-centers-deliver-higher-performance-less-hardware-0407

"You came to MIT and made it more special – contributed to it in your own unique way. Now as you go out into the world, ...
05/29/2026

"You came to MIT and made it more special – contributed to it in your own unique way. Now as you go out into the world, you bring a piece of MIT with you. But more importantly, the world gets to have you. All those qualities you bring that made MIT special are now headed out into communities, industries, and fields that need exactly what you have to offer."

- Geoffrey von Maltzahn ‘03, PhD ‘10, addressing graduates at this week’s School of Engineering and Schwarzman College of Computing Advanced Degree Ceremony

📸: Jake Belcher

05/29/2026

What is Gabriel Sánchez-Velázquez working on?

Inside of a laser microscopy room, the MIT Chemical Engineering (ChemE) graduate student is trying to understand plant language! Watch as he explains his research.



📷: Malik and Miles George

Networking can be difficult in supply chain careers, particularly for women. That’s why Liz Raman-Grubbs MASc ’20, a gra...
05/29/2026

Networking can be difficult in supply chain careers, particularly for women. That’s why Liz Raman-Grubbs MASc ’20, a graduate of the MIT Supply Chain Management Program, created Supply Chain Gals, a networking organization that helps people find confidence and community as they build their careers.

“While Supply Chain Gals focuses on supply chain careers, my audience expands to also include topics like motherhood, tech, entrepreneurship, and career tips,” she says.

📸: Kelsey Chapman

https://alum.mit.edu/slice/supporting-supply-chain

Yesterday, we celebrated our master’s and doctoral degree graduates at the School of Engineering and Schwarzman College ...
05/28/2026

Yesterday, we celebrated our master’s and doctoral degree graduates at the School of Engineering and Schwarzman College of Computing Advanced Degree Ceremony. Congratulations, Class of 2026! 🎓

📸: Jake Belcher

MIT researcher Mariano Salcedo ’25 is using Neural Cellular Automata (NCA)—a blend of machine learning and self-organizi...
05/28/2026

MIT researcher Mariano Salcedo ’25 is using Neural Cellular Automata (NCA)—a blend of machine learning and self-organizing systems—to develop visuals that don't just react to music, but "show" the sounds in action.

By combining a classical understanding of signal processing with modern machine learning, Salcedo aims to create a more immersive, dynamic relationship between what we hear and what we see.

“This approach enables anyone to create music-driven visuals while leveraging the expressive and sometimes unpredictable dynamics of self-organized systems,” says Salcedo, a graduate student in MIT’s new Music Technology and Computation program. “I want the visuals to complement and elevate the listening experience.”

📸: Hanley Valentin

https://news.mit.edu/2026/seeing-sounds-mariano-salcedo-0326

A team, including researchers in the MIT EECS Department, developed a new technique, called CompreSSM, that helps identi...
05/27/2026

A team, including researchers in the MIT EECS Department, developed a new technique, called CompreSSM, that helps identify which parts of a model are pulling their weight before surgically removing unnecessary components early in the training process.

"It's essentially a technique to make models grow smaller and faster as they are training," says Makram Chahine, a PhD student in EECS, CSAIL affiliate, and lead author of the paper. "During learning, they're also getting rid of parts that are not useful to their development."

https://news.mit.edu/2026/new-technique-makes-ai-models-leaner-faster-while-still-learning-0409

Reframe Systems is tackling the national housing shortage by deploying robotic microfactories that build homes exactly w...
05/27/2026

Reframe Systems is tackling the national housing shortage by deploying robotic microfactories that build homes exactly where they are needed. By combining robotics, software, and high-performance materials, the company aims to slash construction lag times and building emissions.

The company’s first manufactured homes are already standing in Arlington and Somerville, MA. Co-founder Vikas Enti SDM ’20 says his experiences in MIT System Design and Management (SDM) helped shape the company from the start. Enti credits SDM with providing him the tools to address the company's system-level challenges.

“Learning how to navigate the system and finding the optimal value for each stakeholder has been a key part of the business strategy,” Enti says, “and that’s rooted in what I learned at SDM.”

https://sdm.mit.edu/spotlight-vikas-enti/

MIT researchers have developed an implantable device that could offer long-term control of type 1 diabetes without the n...
05/26/2026

MIT researchers have developed an implantable device that could offer long-term control of type 1 diabetes without the need for injections. By encapsulating insulin-producing cells and providing them with an on-board oxygen supply, the device protects the cells from immune rejection.

In a new study, which appears in the journal Device, the researchers showed that these encapsulated cells could survive in the body for at least 90 days. In mice that received the implants, the cells remained functional and produced enough insulin to control the animals’ blood sugar levels.

“Islet cell therapy can be a transformative treatment for patients. However, current methods also require immune suppression, which for some people can be really debilitating,” says senior author Daniel Anderson, a professor in MIT Chemical Engineering (ChemE) and a member of MIT’s Institute for Medical Engineering and Science. “Our goal is to find a way to give patients the benefit of cell therapy without the need for immune suppression.”

https://news.mit.edu/2026/implantable-islet-cells-could-control-diabetes-without-insulin-injections-0326

MIT researchers have developed a new AI model that can detect and quantify material defects that were previously "unthin...
05/25/2026

MIT researchers have developed a new AI model that can detect and quantify material defects that were previously "unthinkable" to track. By using a noninvasive neutron-scattering technique, the model can simultaneously identify six different types of defects without destroying the material—a breakthrough for the future of semiconductors, solar cells, and battery technology.

“Existing techniques can’t accurately characterize defects in a universal and quantitative way without destroying the material,” says lead author Mouyang Cheng, a PhD candidate in the MIT Department of Materials Science and Engineering (DMSE). “For conventional techniques without machine learning, detecting six different defects is unthinkable. It’s something you can’t do any other way.”

The researchers say the model is a step toward harnessing defects more precisely in microelectronics and energy storage. “We need better ways of getting the full picture of defects, because we have to understand them to make materials more useful,” says senior author and associate professor in the MIT Department of Nuclear Science and Engineering Mingda Li.

https://news.mit.edu/2026/mit-researchers-use-ai-uncover-atomic-defects-materials-0330

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