Yuyan Wang

Yuyan Wang is an Assistant Professor of Marketing at Stanford Graduate School of Business and the Kevin J. O’Donohue Family Faculty Scholar (2024-2025). She holds a PhD in Statistics from Princeton University (2016) and a BSc from the Special Class for the Gifted Young at USTC (2012). Before academia, she spent 7 years as a machine learning scientist/engineer at Uber and Google DeepMind. Her research focuses on the intersection of marketing, machine learning, and statistics, with a emphasis on improving AI systems' long-term values and fairness. Key contributions include optimizing multi-sided marketplaces, developing intent-based recommendation frameworks, and deploying solutions with global business impact. Awards include the Steven Shugan Best Junior Faculty Paper Award (2025) and CIST Best Paper Award (2022). She teaches Stanford's first AI-focused MBA course, MKTG321, which received exceptional student feedback (mean instruction rating: 4.9/5).

Education Highlights:

• PhD in Statistics, Princeton University (2016)
• BSc in Statistics, USTC Special Class for Gifted Youth (2012)

Research Themes:

• Recommender Systems & Personalization
• Algorithmic Fairness & Long-Term Optimization
• User Intent Modeling & Explainer Systems
• Multi-Sided Marketplace Algorithms

Awards & Recognitions:

• Steven Shugan Best Junior Faculty Paper (AIM 2025)
• CIST Best Paper (2022)
• Top 10 ML Article (0.7% selection) for Uber's Food Discovery work

Teaching & Mentorship:

• Course creator of 'Understanding AI Technologies for Business Problems' (GSB's first AI MBA course)
• Mentor for 3+ students in CS research programs targeting marginalized groups
• Industry mentor at Google Brain and Uber

Key Collaborations:

• Google DeepMind
• Uber
• Industry partnerships with Netflix, Clari, OpenAI, etc.