I’m a first-year Ph.D. student at Princeton ORFE. I’m honored to be supported by the Francis Robbins Upton Fellowship. I am fortunate to work with Prof. Boris Hanin and Prof. Jianqing Fan.

I graduated from MIT in 2024 with a double major in Math and CS. At MIT I was fortunate to work with Prof. Guy Bresler and Prof. Yury Polyanskiy on projects in theoretical statistics and computer science.

I grew up in Shanghai, China, and went to PRISMS for high school in Princeton, NJ. You can find my CV here.

Research interests

I’m currently interested in the theory of deep learning from perspectives of statistics, theoretical computer science, and probability. Much of my past work happened at the intersection of theoretical CS and statistics where I explored non-asymptotic and high-dimensional inference problems and their average-case complexity.

I’m also broadly interested in many related fields. On the theory side, I’m interested in using insights from (statistical) physics in learning. On another more practical end, I’m interested in almost all aspects of Large Language Models.