I am a Ph.D. student at UT Austin advised by Prof. Amy Zhang. My research focuses on developing efficient robot learning methods that are scalable, generalizable and deployable, from diverse data including but not limited to expert demonstrations, suboptimal trajectories, in-the-wild videos, and heuristics. I have the long-term envision that embodied AI agents can facilitate humans with daily chores, through either autonomous or semi-autonomous solutions. Recently, I am working on imitation learning and controllable representation learning for world models.

Previously, I was a Master student in Robotics Institute at Carnegie Mellon University, working with Prof. Howie Choset and Prof. John Galeotti on biomedical robotics. I received my Bachelor of Computer Science from Renmin University of China. I also worked with Prof. Andrea L. Bertozzi on ego-motion classification of body-worn videos, as a visiting undergraduate scholar at UCLA.

In my spare time, I enjoy playing piano, tennis and skateboard.