
I am a postdoctoral associate in the Reliable Autonomous Systems Lab at MIT (REALM). 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 in the intersection of robotics, control theory, and probability theory, with the goal of equipping robot with a “Bayesian Brain“. More specifically, I am interested in leveraging the logic embedded in Bayesian principles, including consistent information sharing, risk-averse control, multi-scale optimization, and active inference, to create Reliable, Responsible, and Resilient Robots.