No specific work experience or research project information.
Education
Ph.D. student at Stanford Computer Science, advised by Professor Stefano Ermon; M.S. from UCLA, advised by Professor Guy Van den Broeck.
Background
Research interests include probabilistic methods in machine learning and deep generative models. The goal is to design generative models that not only capture the uncertainty and structures of real-world data but also support efficient and reliable probabilistic reasoning.