Bio


Yuyan 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 at the University of Science of Technology of China. She has received the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM) in 2025, and the Best Paper Award at the Conference on Information Systems and Technology (CIST) in 2022.

At Stanford GSB, Wang created and taught Understanding AI Technologies for Business Problems, the school’s first technical MBA course on AI.

Academic Appointments


Professional Education


  • B.Sc., University of Science and Technology of China, Special Class for the Gifted Young (2012)
  • PhD, Princeton University, Department of Operations Research & Financial Engineering (2016)

2025-26 Courses


Stanford Advisees


  • Doctoral Dissertation Reader (AC)
    Christy Kang

All Publications