Angel Yang

Angel Yang possesses a strong academic background with a Bachelor's degree in Chemical Engineering from National Taiwan University, a Ph.D. in Chemical Engineering from Stanford University, and a Master of Science in Computer Science from Georgia Institute of Technology. Professional experience includes serving as a Teaching Assistant at Stanford University, where Angel led discussions and guided undergraduates in chemical experiments. Prior experience as a Research Assistant at National Taiwan University involved managing a wet chemistry lab and contributing to seven peer-reviewed publications. In the software engineering realm, Angel has worked at Uber, where implementation of a deep neural network model significantly enhanced driver-rider matching accuracy, and currently at Meta, focusing on recommendation system infrastructure development.