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).
I created and taught the course Understanding AI Technologies for Business Problems, the first technical MBA course on AI at Stanford GSB.
Mar 2025: Served as a session moderator and speaker at the Bridging Humans and Machines: Advancing Alignment in AI Conference.
Mar 2025: Invited presentation at the AIM Conference at USC.
Feb 2025: Invited presentation at the 19th Annual Bass FORMS Conference.
Jan 2025: Invited panelist and thought leader at the 2025 West Coast Leadership Dialogue (WCLD).
Jan 2025: Developed and teaching a new MBA elective at Stanford GSB, "Understanding AI Technologies for Business Problems".
Dec 2024: Invited panelist for the 2024 Yale AIML Conference. Thank you for the invitation!
Nov 2024: Our paper "Going Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems" was accepted by KDD 2025.
Oct 2024: Invited to join the Editorial Review Board (ERB) at Marketing Science. Grateful for the opportunity!
Sept 2024: My work was covered by Stanford Report and Insights by Stanford Business.
Aug 2024: Named as the Kevin J. O’Donohue Family Faculty Scholar for the 2024-2025 academic year.
Aug 2024: Served on the Oral Examination Committee for Yuwei Luo from the OIT group at Stanford GSB. Congrats Yuwei!
May 2024: Ada and I co-organized the Stanford GSB Marketing Camp 2024.
May 2024: "Recommending for a Multi-Sided Marketplace: A Multi-ObjectiveHierarchical Approach" was accepted at Marketing Science.
Apr 2023: Our KDD 2022 paper "Surrogate for Long-Term User Experience in Recommender Systems" was selected among the Most Influential KDD Papers.
Oct 2022: Won the Best Paper Award at CIST 2022.
Last updated: April 2025.