I earned my PhD in Computer Science and Engineering from UC San Diego, fortunate to be 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. During my PhD, I have interned at Qualcomm AI, and served as a Graduate Teaching Assistant at UC San Diego.

My general research interests lie in the interplay between reinforcement learning, robotics and computer vision. My PhD thesis focused on Democratizing Visual Robot Learning, by improving off-policy reinforcement learning algorithms for robotic applications. These improvements included accelerating training speed, parallelism, and visual robustness of off-policy RL (SADA, MAD, Squint).