# Runshan Fu

0 rf2583 [Tenured or Tenure Track](/taxonomy/term/4799) Assistant Professor of Marketing 2022       ![Runshan Fu profile photo](/sites/default/files/styles/480w_x_543h/public/media/rf2583.png?h=9071607e&itok=HWsosb0C)

Tisch Hall

40 West Fourth Street, 815

New York, NY 10012

815 0 - B.B.M., Information Management and Information Systems

Shanghai University of Finance and Economics
- Ph.D., Information Systems and Management

Carnegie Mellon University

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.

Marketing

- Digital Marketing/Advertising
- Market Research
- Pricing
- Social Media

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