Jason (Yecheng) Ma
I am a 3rd-year PhD student at the University of Pennsylvania, where I am fortunate to be advised by Osbert Bastani and Dinesh Jayaraman. In Summer 2022,
I interned at Meta AI, where I worked with Amy Zhang, Vikash Kumar, and Shagun Sodhani.
I work on
reinforcement learning and robot learning. I am particularly interested in scalable algorithms for robot learning.
During my undergraduate studies at Harvard, I worked with Finale-Doshi Velez on Off-Policy Evaluation and David Parkes on imitation learning. I received the highest honor distinction in Computer Science, and was a winner of the Thomas Temple Hoopes Prize for oustanding undergraduate thesis.
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