Chang Shi
Research Intern
About
Chang Shi is a PhD student in Robotics at UT Austin, advised by Amy Zhang. Her research focuses on the intersection of reinforcement learning, representation learning, and robotics. Recently, she has been working on vision-language-action (VLA) models and representation learning for world models.
More information about her work can be found on her personal website (opens in new tab).