Yuyan Wang
Assistant Professor of Marketing at the Graduate School of Business
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.
Professional Education
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B.Sc., University of Science and Technology of China, Special Class for the Gifted Young (2012)
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PhD, Princeton University, Department of Operations Research & Financial Engineering (2016)
2025-26 Courses
- Understanding AI Technology for Business Problems
MKTG 321 (Win) -
Independent Studies (4)
- Doctoral Practicum in Research
MKTG 699 (Aut, Win, Spr, Sum) - Doctoral Practicum in Teaching
MKTG 698 (Aut, Win, Spr, Sum) - Individual Research
GSBGEN 390 (Aut, Win, Spr) - PhD Directed Reading
ACCT 691, FINANCE 691, MGTECON 691, MKTG 691, OB 691, OIT 691, POLECON 691 (Aut, Win, Spr, Sum)
- Doctoral Practicum in Research
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Prior Year Courses
2024-25 Courses
- Understanding AI Technology for Business Problems
MKTG 321 (Win)
- Understanding AI Technology for Business Problems
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Christy Kang
All Publications
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Not All Impressions Are Created Equal: Psychology-Informed Retention Optimization for Short-Form Video Recommendation
ASSOC COMPUTING MACHINERY. 2025: 1022-1025
View details for DOI 10.1145/3705328.3748122
View details for Web of Science ID 001572100200134
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Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
ASSOC COMPUTING MACHINERY. 2025: 2672-2681
View details for DOI 10.1145/3690624.3709429
View details for Web of Science ID 001592410600231
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Recommending for a Multi-Sided Marketplace: A Multi-Objective Hierarchical Approach
MARKETING SCIENCE
2024
View details for DOI 10.1287/mksc.2022.0238
View details for Web of Science ID 001292031600001
https://orcid.org/0000-0001-5585-3789