Recognized as a 2024 Rising Star in Data Science by the University of California San Diego, the University of Chicago, and Stanford University; Mentor of the Year for the University of Chicago Data Science Clinic in 2024; Joined the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) as an Affiliate member in 2025.
Research Experience
Before joining Tufts, he was an Eric and Wendy Schmidt AI in Science Fellow at the University of Chicago.
Education
Received an A.B. in Physics and Mathematics from Harvard in 2016 and a Ph.D. in Physics from MIT in 2022, advised by Prof. Marin Soljačić.
Background
Research interests include physics-informed machine learning, interpretable representation learning, and scientific generative modeling with applications to nonlinear dynamics and chaos, interacting quantum systems, materials science, fluid turbulence, and other areas.
Miscellany
If you are an undergraduate, prospective graduate student, or prospective postdoc excited about physics and machine learning, feel free to send him an email!