About me

I am a graduating statistics PhD student at UC Berkeley where I am fortunate to be advised by Prof. Bin Yu. My research interests include machine learning, deep learning, AI explainability, and causal inference. I received the Evelyn Fix Prize, awarded for the outstanding dissertation in statistics at Berkeley.

This summer, I will be joining Traversal as an AI research intern, developing AI agents to improve DevOps observability. Previously, I interned as a quantitative researcher at Citadel, and as a research scientist at the Center for Computational Physics at the Flatiron Institute, Simons Foundation. I completed my undergraduate studies in Physics and Mathematics at Columbia University.