Yuyan Wang

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Assistant Professor, Marketing

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. 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.

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

  • CIST (Conference on Information Systems and Technology) Best Paper Award, 2022

Publications

Working Papers