Paper: Vision Language Models are In-Context Value Learners (ICLR 2025)
Paper: Show, Don't Tell: Aligning Language Models with Demonstrated Feedback (ICLR 2025)
Paper: ReMix: Optimizing Dataset Mixtures for Large Scale Imitation Learning (CoRL 2024, Best Paper Nominee)
Research Experience
Was a research intern at Physical Intelligence and a student researcher in the Google Deepmind Robotics group. Currently on the job market.
Education
Pursuing a PhD at Stanford University, advised by Dorsa Sadigh; completed undergrad at UC Berkeley, where he worked with Professors Pieter Abbeel and Lerrel Pinto.
Background
A final year PhD student in the computer science department at Stanford University, with research interests in learning for decision making and robotics.