I work at the intersection of robot learning and control, with a focus on real-world contact-rich manipulation and loco-manipulation. My research combines world models, supervised and reinforcement learning, adaptive control, and sim-to-real transfer to build robotic systems that are both capable and physically grounded.

I received my PhD from UC Berkeley, where I was advised by Prof. Masayoshi Tomizuka. Previously, I was a Research Scientist at the Boston Dynamics AI Institute and held research internships at MERL, Everyday Robots (Google X), and Horizon Robotics.