I am a Senior Research Scientist at Google DeepMind and an incoming Assistant Professor at Princeton University, working foundation models of and for robotics.

I am interested in building intelligent and useful robotic systems that can be deployed reliably in challenging environments. My research group broadly focuses on the intersection of machine learning and robotics, with an emphasis on large-scale robot learning (foundation models of & for robotics), reinforcement learning, long-horizon reasoning and planning, modeling multi-agent and human-robot interactions, and continual learning. We take a full-stack approach to robotics by focusing on all aspects of the problem, ranging from algorithmic innovation to system design, and value both the analytical and empirical nature of science. We draw inspiration from cognitive science and psychology to build physical AI systems at the interface of perception, learning, and control.

I will be recruiting PhD students in the upcoming admissions cycle. If you are interested in joining my lab, please apply to Princeton!

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