N. Bora Keskin’s research focuses on operations management problems that involve decision making under uncertainty. His areas of interest include revenue management, dynamic pricing, sequential estimation, and operations management in the consumer lending industry. He is a co-author of numerous publications, including “Bayesian Dynamic Pricing Policies: Learning and Earning under a Binary Prior Distribution” and “Dynamic Pricing with an Unknown Demand Model: Asymptotically Optimal Semi-Myopic Policies.”
Keskin holds a PhD from the Graduate School of Business at Stanford University. Prior to his doctoral education, he worked as a consultant at McKinsey & Company, and also earned BSc degrees in mathematics and industrial engineering from Boğaziçi University in Istanbul, Turkey, where he ranked first among 600 mathematics and engineering graduates.
Keskin joined the University of Chicago faculty in 2012.