Wang is an assistant professor of marketing at Stanford Graduate School of Business. With over six years of industry experience at Google DeepMind and Uber as a machine learning researcher, she has designed algorithms for understanding and improving the long-term values of recommender systems, many of which have been deployed globally in multiple products at Google and Uber Eats. Her background is in statistics, with a PhD from the Department of Operations Research & Financial Engineering (ORFE) at Princeton University and a B.Sc from the Special Class for the Gifted Young program at the University of Science of Technology of China. She has received the Best Paper Award at the Conference on Information Systems and Technology (CIST) in 2022.