I am currently a Research Scientist at Google DeepMind, where I work on reinforcement learning algorithms and applications for robot learning, including recently for robot soccer and whole-body control.

I completed my Ph.D. in Computer Science at UC Berkeley, advised by Professors Pieter Abbeel and Anca Dragan. I have a B.S. from Stanford in CS, with a focus on Artificial Intelligence.

My Ph.D. thesis focused on how we can give humans a better understanding of what a robot has learned and what its capabilities are. For instance, engineers should have an idea of which situations their robot may act incorrectly in, and end-users should be able to anticipate how a robot they are interacting with will behave in various situations. This is essential for building trust, enabling seamless human-robot collaboration, verifying what a robot has learned, and deploying robots in safety-critical situations.

Outside of research, I enjoy rock climbing, hiking, running, yoga, and board game nights!