The MIT-Pillar AI Collective has announced three inaugural fellows for the fall 2023 semester. With support from the program, graduate students, who are in their final year of a master’s or doctoral program, will conduct research in the fields of artificial intelligence, machine learning and data science with the aim of commercializing their innovations.
Launched by MIT’s School of Engineering and Pillar VC in 2022, the MIT-Pillar AI Collective supports faculty, postdocs, and students conducting research in AI, machine learning, and data science. Supported by a donation of CV Pillar and administered by the MIT Deshpande Center for Technology InnovationThe program’s mission is to advance research toward commercialization.
The fall 2023 MIT-Pillar AI Collective Fellows are:
Alexander Andonian SM ’21 is a doctoral student in electrical engineering and computer science whose research interests include computer vision, deep learning, and artificial intelligence. More specifically, it focuses on creating a generalist, multimodal AI scientist, driven by generative vision language model agents, capable of proposing scientific hypotheses, conducting computational experiments, evaluating evidence support and verify findings in the same way as a human researcher or evaluator. Such an agent could be trained to optimally distill and communicate its findings for human consumption and understanding. Andonian’s work promises to create a concrete foundation for rigorously building and holistically testing the next generation autonomous AI agent for science. In addition to his research, Andonian is the CEO and co-founder of Reelize, a startup that offers an AI generative video tool that effortlessly transforms long videos into short clips – and grew out of his business classes and was supported by MIT Sandbox. Andonian is also one of the founding AI researchers at Poly AI, an early-stage YC-backed startup that creates AI design tools. Andonian earned an SM from MIT and a BS in neuroscience, physics and mathematics from Bates College.
Daniel Magley is a doctoral student in the Harvard-MIT Program in Health Sciences and Technology and is passionate about making healthy, fully functioning minds and bodies a reality for all. His cutting-edge research focuses on the development of a swallowable wireless thermal imaging capsule that could be used in the treatment and monitoring of inflammatory bowel diseases and their manifestations, such as Crohn’s disease. Providing increased sensitivity and eliminating the need for bowel preparation, the capsule has the potential to significantly improve treatment effectiveness and the overall patient experience with routine monitoring. The capsule has completed animal studies and is entering human studies at Mass General Brigham, where Magley leads a team of engineers in the hospital’s largest translational research laboratory, the Tearney Lab. Following human pilot studies, the most significant technological and regulatory risks will be eliminated for translation. Magley will then begin focusing on a multi-site study to bring the device into clinics, with the promise of benefiting patients across the country. Magley earned a BS in electrical engineering from Caltech.
Madhumitha Ravichandra is a doctoral student interested in advancing heat transfer and surface engineering techniques to improve the safety and performance of nuclear energy systems and reduce their environmental impacts. Leveraging her deep knowledge of integrating explainable AI with high-throughput autonomous experimentation, she seeks to transform the development of radiation-hardened (rad-hard) sensors, which could potentially withstand and perform under radiation levels that would render conventional sensors useless. By integrating explainable AI with high-throughput autonomous experimentation, it aims to rapidly iterate designs, test under varied conditions, and ensure the final product is both robust and transparent in its operations. His work in this area could change the paradigm for the development of radiation-hardened sensors, filling a glaring gap in the market and redefining standards, ensuring that nuclear and space applications are safer, more efficient and at the forefront of technology. technological progress. Ravichandran completed a BTech in Mechanical Engineering from SASTRA University, India.