I am a first year PhD student in Computer Science at Princeton University, and I am fortunate to be advised by Professor Sanjeev Arora. In Dec. 2022 I graduated from Duke University with double major in Mathematics and Computer Science. At Duke I was fortunate to be advised by Professor Rong Ge.

Research Interests

My current interests spans broadly across the field of machine learning, both theoretically and empirically. Recently I am especially interested in understanding the power of large language models through a semi-theoretical perspective. During my undergraduate experiences, my research interest primarily lies on the field of optimization (especially non-convex optimization). In particular, I was interested in understanding how modern gradient-based algorithms works from a theoretical perspective and designing better algorithms leveraging the insights from such theoretical understandings. I am also broadly interested in theoretical computer science and algorithmic fairness.

Outside of academics, I play the electric guitar and do competitive cycling.