I am a Postdoctoral Associate in the Reliable Autonomous Systems Lab at MIT (REALM) and the Laboratory for Information and Decision Systems (LIDS) at MIT. 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 for them to grow in the wild. More specifically, I am interested in reverse-engineering the principles underlying human reasoning — Bayesian principles — to create robots that can self-evolve in unstructured, uncertain, and unstable real-world scenarios, such as space exploration, underwater source seeking, and disaster search and rescue.