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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Publications (Highlighted / All)

I am looking for highly motivated students to help with research projects all year long. I especially encourage students from underrepresented groups to get involved! If you are interested, please send me an email with your CV and your research interests. I strongly prefer candidates who are interested in applying to PhD programs in AI/Robotics; please indicate on your email if you intend on doing so. Expectations are 10-15 hours per week during the semester, and/or full-time during the summer (funding negotiable).

  • Andrew Shen (Exchange Undergraduate Student from University of Melbourne; Co-First Author: AAAI 2022; Second Author: ICML 2022)
  • Jason Yan (Penn Undergraduate; Second Author: NeurIPS 2022, L4DC 2023)

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