Lynn Wu

Lynn Wu, PhD

Associate Professor of Operations, Information and Decisions, The Wharton School

Research Interests:Big data analytics, artificial intelligence, enterprise social media, innovation, entrepreneurship, productivity

About Lynn

Lynn Wu is an associate professor at the Wharton School. She teaches MBA, undergraduate, and PhD classes about the use and impact of emerging technologies on business.

Her research examines how emerging information technologies, such as artificial intelligence and analytics, affect innovation, business strategy, and productivity. Specifically, her work follows three streams. In the first stream, she examines how data analytics and artificial intelligence affect firm innovation, business strategy, labor outcomes, and productivity for both large firms and startups. In her second stream, she studies how enterprise social media and online platforms affect work performance, career trajectories, entrepreneurship success, and the formation of new types of biases that arise from using technologies. In her third stream of research, Wu leverages fine-grained nanodata available through online digital traces to predict economic indicators such as real estate trends, labor trends, and product adoption.

Wu has published articles in economics, management, and computer science. Her work has been widely covered by media outlets, including NPR, the Wall Street Journal, Businessweek, New York Times, Forbes, and The Economist. She has won numerous awards such as Early Career awards from INFORMS and AIS, and best paper awards from Information Systems Research, AIS, ICIS, HICSS, CHITA, and Kauffman. She has also won the Dean’s teaching award.

Wu received her undergraduate degrees from MIT (finance and computer science), her master’s degree from MIT (computer science), and her PhD from MIT Sloan School of Management (management science). Wu has experiences working with a variety of firms in the technology industry (e.g., IBM, SAP, Google, Facebook), government agencies, and think tanks (e.g., the World Bank, the Russell Sage Foundation). She has also consulted and advised several startups. Prior to academia, she was a software engineer and a research scientist at MIT's AI lab and IBM.

Read full faculty bio on Wharton website

Executive Education Programs Taught

Strategies for Accountable AI

Learn to navigate the legal, ethical, and business challenges of AI, mitigating risks and maximizing benefits. This comprehensive program offers practical frameworks for managing AI’s complexities, including accuracy, risk, transparency, and privacy. Engage with leading faculty in interactive online sessions and self-paced learning, gaining insights to enhance AI safety, trustworthiness, and compliance. Assess and improve your organization’s AI readiness, benefiting from expert guidance and peer networking.