Yuyan Wang
Assistant Professor of Marketing
Research Statement
Research Interests
- Machine Learning
- Recommender Systems and Personalization
- Consumer Modeling
- Long-Term Optimization
- Algorithmic Fairness
Bio
Wang is an assistant professor of marketing and Kevin J. O’Donohue Family Faculty Scholar for 2024–2025 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 BSc 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.
Academic Degrees
- PhD in Statistics; Department of Operations Research & Financial Engineering, Princeton University; 2016
- BS in Statistics; Special Class for the Gifted Young, University of Science and Technology of China; 2012
Professional Experience
- Senior Research Engineer, Google DeepMind, 2019–23
- Applied Scientist, Uber Technologies, Inc., 2016–19
Awards and Honors
- Kevin J. O’Donohue Family Faculty Scholar, 2024–25
- CIST (Conference on Information Systems and Technology) Best Paper Award, 2022