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Three MIT college students chosen as inaugural MIT-Pillar AI Collective Fellows

MIT-Pillar AI Collective has introduced three inaugural fellows for the autumn 2023 semester. With help from this system, the graduate college students, who’re of their remaining 12 months of a grasp’s or PhD program, will conduct analysis within the areas of synthetic intelligence, machine studying, and knowledge science with the purpose of commercializing their improvements.

Launched by MIT’s College of Engineering and Pillar VC in 2022, the MIT-Pillar AI Collective helps school, postdocs, and college students conducting analysis on AI, machine studying, and knowledge science. Supported by a present from Pillar VC and administered by the MIT Deshpande Heart for Technological Innovation, the mission of this system is to advance analysis towards commercialization.

The autumn 2023 MIT-Pillar AI Collective Fellows are:

Alexander Andonian SM ’21 is a PhD candidate in electrical engineering and laptop science whose analysis pursuits lie in laptop imaginative and prescient, deep studying, and synthetic intelligence. Extra particularly, he’s centered on constructing a generalist, multimodal AI scientist pushed by generative vision-language mannequin brokers able to proposing scientific hypotheses, working computational experiments, evaluating supporting proof, and verifying conclusions in the identical means as a human researcher or reviewer. Such an agent may very well be skilled to optimally distill and talk its findings for human consumption and comprehension. Andonian’s work holds the promise of making a concrete basis for rigorously constructing and holistically testing the next-generation autonomous AI agent for science. Along with his analysis, Andonian is the CEO and co-founder of Reelize, a startup that gives a generative AI video software that effortlessly turns lengthy movies into quick clips — and originated from his enterprise coursework and was supported by MIT Sandbox. Andonian can also be a founding AI researcher at Poly AI, an early-stage YC-backed startup constructing AI design instruments. Andonian earned an SM from MIT and a BS in neuroscience, physics, and arithmetic from Bates School.

Daniel Magley is a PhD candidate within the Harvard-MIT Program in Well being Sciences and Know-how who’s captivated with making a wholesome, absolutely functioning thoughts and physique a actuality for all. His modern analysis is targeted on growing a swallowable wi-fi thermal imaging capsule that may very well be utilized in treating and monitoring inflammatory bowel illnesses and their manifestations, resembling Crohn’s illness. Offering elevated sensitivity and eliminating the necessity for bowel preparation, the capsule has the potential to vastly enhance therapy efficacy and total affected person expertise in routine monitoring. The capsule has accomplished animal research and is getting into human research at Mass Common Brigham, the place Magley leads a staff of engineers within the hospital’s largest translational analysis lab, the Tearney Lab. Following the human pilot research, the most important technological and regulatory dangers can be cleared for translation. Magley will then start specializing in a multi-site examine to get the machine into clinics, with the promise of benefiting sufferers throughout the nation. Magley earned a BS in electrical engineering from Caltech.

Madhumitha Ravichandra is a PhD candidate curious about advancing warmth switch and floor engineering methods to reinforce the security and efficiency of nuclear power techniques and cut back their environmental impacts. Leveraging her deep information of the combination of explainable AI with high-throughput autonomous experimentation, she seeks to remodel the event of radiation-hardened (rad-hard) sensors, which may probably face up to and performance amidst radiation ranges that will render standard sensors ineffective. By integrating explainable AI with high-throughput autonomous experimentation, she goals to quickly iterate designs, check below diversified circumstances, and be sure that the ultimate product is each sturdy and clear in its operations. Her work on this area may shift the paradigm in rad-hard sensor growth, addressing a obtrusive void available in the market and redefining requirements, guaranteeing that nuclear and area purposes are safer, extra environment friendly, and on the reducing fringe of technological progress. Ravichandran earned a BTech in mechanical engineering from SASTRA College, India.

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