I am a PhD student in Electrical and Computer Engineering at University of Texas at Austin. I am honored to be supervised by Professor Peter Stone. I am interested in reinforcement learning, causal inference, Bayesian methods, and their applications in robotics. My research focuses on introducing causal understanding into robot learning for better generalization and sample efficiency.
Previously, I completed my M.S. in Computer Science at Columbia University. I was a member of Columbia Robotics Lab advised by Professor Peter Allen and Pe’er Group advised by Professor Itsik Pe’er. My research interest focuses on Reinforcement Learning and Probabilistic Graphical Models.
I graduated with a B.S. in computer engineering from University of Michigan - Ann Arbor, where I researched under the supervision of Professors Gábor Orosz and Necmiye Ozay. As a dual-degree program student, I also received a B.S. in electrical and computer engineering at University of Michigan – Shanghai Jiao Tong University Joint Institute.