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Beibei Li is a Professor at Carnegie Mellon University's Heinz College, where she focuses on the intersection of social and technical aspects of information technology. She received her PhD with distinction from the Leonard N. Stern School of Business at New York University. Her research interests primarily revolve around how human decisions are influenced by technological advancements, particularly in the context of mobile, web, and sensor technologies. These technological shifts have substantially transformed individual behaviors and decision-making processes in both digital and physical environments. By analyzing digital footprints and user interactions, her work aims to develop strategies that enhance the design of technology platforms for improved economic welfare. Beibei employs interdisciplinary methodologies incorporating artificial intelligence, machine learning, economics, and randomized experiments to achieve her research goals. Her contributions have been featured in premier journals and conferences in the fields of management science, marketing, and information systems. She has received numerous accolades, including the INFORMS ISS Sandy Slaughter Early Career Award and various research awards from esteemed organizations such as the National Science Foundation and Google.
Carnegie Mellon University • Pittsburgh, PA
Professor of Management focusing on information technology and decision making.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.