Runshan Fu

Biography

Runshan Fu joined New York University Stern School of Business as an Assistant Professor of Marketing in July 2022.

Fu conducts research in quantitative marketing and the economics of artificial intelligence (AI). She studies how machine learning (ML) algorithms affect firms and consumers and how they influence market outcomes, with a focus on algorithmic bias. Her recent papers use machine learning, analytical modeling, and structural econometric modeling methods to study the economic implications of using machine learning in decision making and the unintended disparate impacts of ML-driven decisions across demographic groups.

She is the recipient of the 2021 INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Proposal Award.

She received her BBM in Information Management and Information Systems from Shanghai University of Finance and Economics and her PhD in Information Systems and Management from Carnegie Mellon University.

Research Interests

• Quantitative Marketing
• Economics of AI
• Algorithmic Bias
• Fairness of ML
• Crowd Lending

Academic Background

B.B.M., Information Management and Information Systems
Shanghai University of Finance and Economics

Ph.D., Information Systems and Management
Carnegie Mellon University