I am a 1st year PhD student working in artificial intelligence and reinforcement learning at Stanford University. I am affiliated with Stanford Artificial Intelligence Laboratory (SAIL), where my research is advised by Dorsa Sadigh, Chelsea Finn, and Noah Goodman.
Previously, I studied mathematical physics as an undergraduate at Stanford University. Outside of AI, I am interested in pure mathematics, especially abstract algebra and neighbouring fields.
I work on reinforcement learning and sequential decision-making with the goal of developing learning and inference algorithms aiming towards solving extremely complex problems, especially in scientific discovery. These days, I am interested in exploration-exploitation strategies, and training-time and inference-time search.
Selected Papers:
(* denotes co-lead)
Full list of publications can be found here: All Papers.
CS 224R - Deep Reinforcement Learning. Head CA. Spring, 2025.
CS 229 - Machine Learning. CA. Winter, 2025.
