The course provides doctoral students in Operations Management and other related fields with a perspective on alternative formulations and solution approaches to problems of decision-making under model uncertainty. The course focuses on various problems in operations and revenue management, highlighting the unique features associated with those. The first few sessions will be dedicated to review key concepts and the remainder of the course will be organized around a series of research papers.
Philip H. Geier Jr. Associate Professor of Business
Omar Besbes is an Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University.
His primary research interests are in the are of data-driven decision-making with a focus on applications in e-commerce, pricing, and revenue management, online advertising, operations management, and service systems. His research has been recognized by the 2012 INFORMS Revenue Management and Pricing...