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Assistant Professor of Marketing, Stanford Graudate School of Business
Hello! I'm Yuyan Wang, Assistant Professor of Marketing and the Kevin J. O’Donohue Family Faculty Scholar for 2024-2025 at the Stanford Graduate School of Business. Before joining Stanford, I have spent almost 7 years in the tech industry (Uber, Google DeepMind) as a machine learning scientist / engineer.
My research lies in the intersection of marketing, machine learning, and statistics. I am interested in leveraging theory and behavior insights to design better AI and machine learning systems, and understanding and improving the long-term values of recommender systems. The insights and the solutions that I developed provided managerial implications for several products at Google and Uber, where multiple of my works have been deployed globally and generated significant business impact.
I received my Ph.D. in statistics from the Department of Operations Research & Financial Engineering at Princeton University, where I was fortunate to be advised by Prof. Jianqing Fan. Before Princeton, I received my Bachelor’s degree in statistics from the Special Class for the Gifted Young at University of Science and Technology of China (USTC). Please feel free to check out my CV, research, Google Scholar, talks, teaching and blogs (in Chinese).
At Stanford GSB, I created and taught Understanding AI Technologies for Business Problems, the school’s first technical MBA course on AI.
News in 2025:
July 2025: Our work "Not All Impressions Are Created Equal: Psychology-Informed Retention Optimization for Short-Form Video Recommendation" is accepted as a Spotlight oral presentation at Recsys 2025 this year!
June 2025: Our two working papers "Beyond Black-Box: Structuring Multi-Stage Recommender Systems Using Predicted Intents" and "Blessing of Reasoning: Value of LLM-Generated Explanations in Black-Box Recommender Systems" have been accepted by the Actionable Interpretability Workshop at ICML 2025.
May 2025: Awarded the Steven Shugan Best Junior Faculty Paper Award at the AI in Management Conference (AIM 2025) for the paper "Beyond Black-Box: Structuring Multi-Stage Recommender Systems Using Predicted Intents". Named finalist for the paper "Blessing of Reasoning: Value of LLM-Generated Explanations in Black-Box Recommender Systems". Thank you for the recognition!
May 2025: Invited talk at 2025 InsightsOn Conference at Yale School of Management.
May 2025: Invited panelist on the AI faculty panel at the Stanford GSB Staff Town Hall.
Mar 2025: Served as a session moderator and speaker at the Bridging Humans and Machines: Advancing Alignment in AI Conference.
Mar 2025: Invited talk at the AIM Conference at USC.
Feb 2025: Invited talk at the 19th Annual Bass FORMS Conference.
Jan 2025: Invited panelist and thought leader at the 2025 West Coast Leadership Dialogue (WCLD).
Last updated: July 2025.
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