Omar Besbes

Philip H. Geier Jr. Associate Professor of Business

Decision, Risk, and Operations

PhD, Columbia University, 2008; MSc, Stanford University, 2000; Ing., École Polytechnique, France, 1999

Joined CBS in 2009

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Omar Besbes

Office
405A Uris

Phone
212-854-5638

E-mail
ob2105@columbia.edu

Fax
212-316-9180

Teaching and research interest

Omar Besbes is an Associate Professor in the Decision, Risk and Operations division at the Graduate School of Business, Columbia University. He teaches the core MBA Operations Management course as well as an MBA elective on advanced Business Analytics. His primary research interests are in the area of decision-making under model uncertainty 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 Section prize. He has also received the Dean’s award at Columbia Business School for teaching excellence for the Operations Management core course.

Before joining Columbia in July 2009, he was on the faculty at the Wharton School, University of Pennsylvania.

Journal articles

On implications of demand censoring in the newsvendor problem In Management Science (2013)
Author(s): Omar Besbes, Alp Muharremoglu, Alp Muharremoglu

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Dynamic Pricing with Financial Milestones: Feedback-Form Policies In Management Science (2012)
Author(s): Omar Besbes, Costis Maglaras

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Blind Network Revenue Management In Operations Research (2012)
Author(s): Omar Besbes, Assaf Zeevi

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On the minimax complexity of pricing in a changing environment In Operations Research (2011)
Author(s): Omar Besbes, Assaf Zeevi

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Testing the Validity of a Demand Model: An Operations Perspective In Manufacturing & Service Operations Management (2010)
Author(s): Omar Besbes, Robert Phillips, Assaf Zeevi

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Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms In Operations Research (2009)
Author(s): Omar Besbes, Assaf Zeevi

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Revenue Optimization for a Make-to-Order Queue in an Uncertain Market Environment In Operations Research (2009)
Author(s): Omar Besbes, Costis Maglaras

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Going Bunkers: The Joint Route Selection and Refueling Problem In Manufacturing & Service Operations Management (2009)
Author(s): Omar Besbes, Sergei Savin

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CaseWorks

Tahoe Healthcare Systems: Spring 2014
Author(s): Omar Besbes, Mark Broadie, Garrett J. van Ryzin

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Pandora Internet Radio: Fall 2013
Author(s): Omar Besbes, Mark Broadie, Garrett J. van Ryzin

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Beleza Natural (Traducción Español): Fall 2013
Author(s): Omar Besbes, Nelson M. Fraiman, Marcelo Olivares, Maria J. Quinteros, Gabriel Y. Weintraub

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Nomis Solutions (A and B): Spring 2014
Author(s): Omar Besbes, Daizhuo Chen, Robert L. Phillips

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Lean Operations: From Efficiency to Profit: Fall 2011
Author(s): Omar Besbes, Trevor Harris, Marcelo Olivares, Gabriel Weintraub

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Beleza Natural: Spring 2012
Author(s): Omar Besbes, Nelson M. Fraiman, Marcelo Olivares, Maria Quinteros, Gabriel Weintraub

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Emergency Department Congestion at Saintemarie University Hospital: Fall 2011
Author(s): Omar Besbes, Laurent Hublet, Carri Chan

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Working Papers

Product assortment and price competition under multinomial logit demand Working Paper (2014)
Author(s): Omar Besbes, Denis Saure

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On Information Distortions in Online Ratings (2013)
Author(s): Omar Besbes, Marco Scarsini

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Non-Stationary Stochastic Optimization (2013)
Author(s): Omar Besbes, Yonatan Gur, Assaf Zeevi

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Forthcoming Articles

Dynamic Pricing Strategies in the Presence of Demand Shifts In Manufacturing & Service Operations Management (2014)
Author(s): Omar Besbes, Denis Saure

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Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design In Management Science (2014)
Author(s): Santiago Balseiro, Omar Besbes, Gabriel Weintraub

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Intertemporal Price Discrimination: Structure and Computation of Optimal Policies In Management Science (2012)
Author(s): Omar Besbes, Ilan Lobel

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On the (Surprising) Sufficiency of Linear Models for Dynamic Pricing with Demand Learning In Management Science (2012)
Author(s): Omar Besbes, Assaf Zeevi

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