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Lynn Wu is an Associate Professor at the Wharton School specializing in Operations and Information Decisions. Her research interests are in big data analytics, artificial intelligence, and the impact of emerging technologies on business innovation and productivity. She examines how data analytics and AI influence firm innovation, business strategy, and labor outcomes, particularly in both large firms and startups. Additionally, she investigates the role of enterprise online platforms in shaping work performance and entrepreneurial success. Wu's work leverages fine-grained data from online digital traces to forecast economic indicators such as real estate trends and product adoption rates. Her research has been extensively published across economics, management, and computer science, and has been featured in major media outlets like NPR and The Wall Street Journal. She has received numerous accolades including Early Career awards from INFORMS and AIS, as well as teaching awards. Wu completed her undergraduate and graduate studies at MIT, where she earned degrees in finance and computer science, and a PhD in management science from the MIT Sloan School of Management. Before her academic career, she worked as a software engineer and research scientist at MIT and IBM, gaining experience in the technology sector and consulting for startups.
Wharton School • Philadelphia, PA
Teaches MBA, undergraduate, and PhD classes on the impact of emerging technologies on business.
MIT's AI Lab and IBM • Cambridge, MA
Worked in the technology sector before transitioning to academia.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.