Hello! I'm a final-year CS PhD student at the Berkeley AI Research Lab at UC Berkeley, where I'm advised by Angjoo Kanazawa and Yi Ma.
I'm currently an intern at Amazon FAR. Before, I worked with Jeannette Bohg during an MS at Stanford and Pieter Abbeel during a BA at UC Berkeley. My PhD work is supported by the NSF Graduate Research Fellowship.
I'm interested in practical machine learning for real-world systems. These days, I've been thinking about generative models for action1Flow Policy Gradients for Robot Control (2026),2Flow Matching Policy Gradients (2026),4Estimating Body and Hand Motion in an Ego-sensed World (2025) and spatial perception3Cameras as Relative Positional Encoding (2025),5Reconstructing People, Places, and Cameras (2025),6Canonical Factors for Hybrid Neural Fields (2023); I also enjoy building open-source research tools.
Feel free to reach out if you're interested in chatting!
Full list on Google Scholar!
I like thinking about tools and abstractions:
I previously spent time on embedded systems and hardware design. Here's a miniature portfolio.
I'm from Milpitas, CA. Outside of research, I enjoy biking around the Bay Area and taking photos!