Yuyan Wang
Assistant Professor of Marketing
Academic Area:
Research Statement
Yuyan Wang’s research lies in the intersection of marketing, machine learning, and statistics. She is interested in understanding and improving long-term consumer experience on personalization platforms and designing machine learning solutions for recommender systems and personalization use cases. The insights and the solution that she developed provided managerial implications for several personalization products at Google and Uber, where multiple of her works have been deployed globally and generated significant business impact.
Research Interests
- Machine Learning
- Recommender Systems and Personalization
- Consumer Modeling
- Long-Term Optimization
- Algorithmic Fairness
Bio
Wang is an assistant professor of marketing at Stanford Graduate School of Business. She earned her PhD in Statistics from Princeton University’s Department of Operations Research & Financial Engineering under the guidance of Professor Jianqing Fan, and holds a BS in Statistics from the Special Class for the Gifted Young program at the University of Science of Technology of China. With over six years of industry experience at Uber and Google Brain as a machine learning researcher, she focused on designing algorithms for understanding and improving the long-term values of recommender systems for Uber Eats and YouTube. Her work has been recognized with the Best Paper Award at Conference on Information Systems and Technology (CIST).
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 Brain, 2019–23
- Applied Scientist, Uber Technologies, Inc., 2016–19
Awards and Honors
- CIST (Conference on Information Systems and Technology) Best Paper Award, 2022