I am a postdoctoral associate in the Reliable Autonomous Systems Lab at MIT (REALM) and the Laboratory for Information and Decision Systems (LIDS). I received my Ph.D. in Robotics from Georgia Institute of Technology in 2024, and B.S. in Automation from Tsinghua University in 2019.
My research lies at the intersection of robotics, control theory, and probability theory, with the goal of equipping robots with a “Bayesian Brain.” More specifically, I am interested in using a “Bayesian” perspective to interpret the rational principles underlying human thought and building robots that reason trustworthyly, mirroring the idealized principles of Bayesian reasoning.