I'm a PhD Candidate in Computer Science and Engineering at UC San Diego, advised by Professor Henrik Christensen. Prior to that, I earned my Masters in Electrical and Computer Engineering from Carnegie Mellon University, and my Bachelors in Computer Engineering from San Diego State University.

My general research interests lie in the interplay between robotics, reinforcement learning and computer vision. In a future where robot agents are everywhere, how can we better train these agents to adapt to the real world?