From June to December 2026, I will be a research scientist intern at Meta AI (FAIR), San Francisco. My internship project focusses on designing, building, and understanding auto-research agents.

I’m a Ph.D. candidate at Princeton ORFE, advised by Prof. Boris Hanin. I’m honored to be supported by the Francis Robbins Upton Fellowship. You can find my CV here.

I received my B.S. degree from MIT in 2024 with a double major in Math and CS. During my time at MIT, I was fortunate to work with Prof. Guy Bresler and Prof. Yury Polyanskiy on projects in statistics and theoretical computer science.

I grew up in Shanghai, China, and went to PRISMS for high school in Princeton, NJ.

Research interests

I’m interested in studying deep learning theoretically and empirically. At the moment, I’m broadly thinking about analyzing the scaling limits and scaling law of deep networks.

Much of my past work at MIT happened at the intersection of theoretical CS and statistics, where I explored non-asymptotic and high-dimensional inference problems and their average-case complexity.