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 taking a “Bayesian” perspective to interpret the rational principles underlying human inference and decision-making, and leveraging those Rules to create Reliable, Responsible, and Resilient Robots.