I am a second-year PhD student in Statistics at UC Berkeley and an NSF Graduate Research Fellow.

My research focuses mainly on AI, using ideas from causal inference and machine learning to study what large models can provably learn and compute, and how to make them reliable tools for inference, experimentation, and decision-making.