Walter W. Zhang

Walter W. Zhang is Assistant Professor of Marketing at The Wharton School, University of Pennsylvania. His research integrates economic models and statistical methods to study AI-driven personalization, targeting strategies, and incentive systems in business decision-making. Research focuses on machine learning applications in marketing, causal inference methodologies, and optimal transport techniques.

Awards include:

• ASA Statistics in Marketing Doctoral Dissertation Award Finalist (2024)
• J. Michael Harrison Doctoral Prize (2024)
• Vithala R. Rao ISMS Doctoral Dissertation Award (2023)
• MSI Alden G. Clayton Honorable Mention (2023)

Developed software tools including causalKNN for treatment effect estimation and chebInterp for Chebyshev polynomial interpolation routines. Personal interests include épée fencing, tennis, and Late Antiquity history.