Runshan Fu

Runshan Fu is an Assistant Professor of Marketing at New York University's Leonard N. Stern School of Business, joining in 2022. She specializes in quantitative marketing and the economics of artificial intelligence, focusing on algorithmic bias and machine learning's societal impacts. Her research employs machine learning, analytical modeling, and structural econometric methods to study fair ML-driven decision-making.

Education:

• B.B.M. in Information Management and Information Systems, Shanghai University of Finance and Economics
• Ph.D. in Information Systems and Management, Carnegie Mellon University

Research Interests: Fu explores how AI/ML algorithms affect firms, consumers, and market outcomes, particularly addressing algorithmic bias and fairness. Key areas include the economic implications of ML in decision-making and disparate impacts across demographic groups. She also studies crowd lending and digital marketing strategies.

Awards:

• 2021 INFORMS ISMS Doctoral Dissertation Proposal Award

Expertise: Digital advertising, pricing strategies, social media analytics, and market research.