How To Teach A Business Course At Columbia University
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1 Curriculum Vitæ Omar Besbes (February 2015) Decision, Risk & Operations division Graduate School of Business, Columbia University 3022 Broadway, Uris Hall, 405A New York, NY Phone : +1 (212) Fax : +1 (212) ob2105@columbia.edu Research interests Data-driven decision-making with applications in e-commerce, online advertising, pricing and revenue management, operations management and service systems. Academic Appointments Columbia University, New York, NY Graduate School of Business, Decision, Risk & Operations division - Philip H. Geier Jr. Associate Professor of Business (07/ present) - Associate Professor (01/ present) - Assistant Professor (07/ /2012) University of Pennsylvania, Philadelphia, PA The Wharton School, Operations and Information Management Department - Assistant Professor (07/ /2009) - Lecturer (07/ /2008) Education Ph.D. in Decision, Risk & Operations, 2008 Columbia University, Graduate School of Business, New York, NY Thesis: Revenue management under model uncertainty: theory and methods M.Sc. in Aeronautics and Astronautics, 2000 Stanford University, Stanford, CA Ingénieur de l École Polytechnique, 1999 École Polytechnique, Palaiseau, France Major in Applied Mathematics and Mechanical Engineering University-level preparation for the competitive entrance to French Engineering Schools, Lycée Saint-Louis, Paris, France Major in Mathematics and Physics 1
2 Teaching Experience Graduate School of Business, Columbia University, New York, NY - Business Analytics (MBA Core), Fall 2013, Fall Operations Management (MBA Core), Spring 2010, Spring 2011, Spring 2012, Spring Analytics for Competitive Advantage (MBA elective), Spring 2012, Fall Seminar on dynamic optimization under model uncertainty (Ph.D. program), Spring 2011 The Wharton School, University of Pennsylvania, Philadelphia, PA - Operations Management: Quality and Productivity (MBA Core), Spring 2008, Spring Introduction to stochastic processes (Ph.D. Program), Fall Seminar on revenue management and pricing (Ph.D. Program), Spring 2009 Professional experience Siemens Transportation Systems - Project manager, improvement division Erlangen, Germany (01/ /2003) - Project manager, Operations Control Center and Traction Power for a new mass transit system, Sacramento, CA / San Juan, Puerto Rico (09/ /2001) Research papers Published or forthcoming in refereed journals 1. S. Balseiro, O. Besbes and G. Weintraub (2014). Repeated auctions with budgets in Ad exchanges: approximations and design. Management Science, Articles in Advance. - finalist in the 2014 INFORMS George Nicholson student paper competition (S. Balseiro) - part of thesis that was awarded the 2014 George B. Dantzig Dissertation Award (S. Balseiro) 2. O. Besbes and A. Zeevi (2014). On the (surprising) sufficiency of linear demand models for dynamic pricing with demand learning. Management Science, Articles in Advance. 3. O. Besbes and I. Lobel (2015). Intertemporal price discrimination: structural results and computation of optimal policies. Management Science, 61 (1), O. Besbes and D. Saure (2014). Dynamic pricing strategies in the presence of demand shifts. Manufacturing & Service Operations Management, 16 (4), O. Besbes and A. Muharremoglu (2013). On implications of demand censoring in the newsvendor problem. Management Science, 59 (6), O. Besbes and C. Maglaras (2012). Dynamic pricing with financial milestones: feedbackform Policies. Management Science, 58 (9),
3 7. O. Besbes and A. Zeevi (2012). Blind network revenue management. Operations Research, 60 (6), O. Besbes and A. Zeevi (2011). On the minimax complexity of pricing in a non-stationary environment. Operations Research, 59 (1), O. Besbes, R. Phillips and A. Zeevi (2010). Testing the validity of a demand model: An operations perspective. Manufacturing & Service Operations Management, 12 (1), recognized by the 2013 M&SOM best paper award 10. O. Besbes and C. Maglaras (2009). Revenue management of a make-to-order firm in an uncertain environment. Operations Research, 57 (6), recognized by the 2012 INFORMS Revenue Management and Pricing Section Prize 11. O. Besbes and A. Zeevi (2009). Dynamic pricing without knowing the demand function: Risk bounds and near-optimal algorithms. Operations Research, 57 (6), recognized by the 2012 INFORMS Revenue Management and Pricing Section Prize 12. O. Besbes and S. Savin (2009). Going bunkers: The joint route selection and refueling problem. Manufacturing & Service Operations Management, 11 (4), Submitted to refereed journals 13. O. Besbes, Y. Gur and A. Zeevi. Optimization in online content recommendation services: beyond click-through rates. under review. recognized by the first place at the 2014 M&SOM student paper competition (Y. Gur) 14. O. Besbes, Y. Gur and A. Zeevi. Non-stationary stochastic optimization. under review. honorable mention at the 2013 INFORMS George Nicholson student paper competition (Y. Gur) 15. O. Besbes and M. Scarsini. On information distortions in online reviews. under review. 16. O. Besbes and D. Saure. Product assortment and price competition under multinomial logit demand. under review. 17. T. Chan, O. Besbes, and F. de Véricourt. Contracting in Medical Equipment Maintenance Services: An Empirical Investigation. under review. 18. O. Besbes, J.M. Chaneton and C.Moallemi. The exploration-exploitation trade-off in the newsvendor problem. under review. Refereed Conference Proceedings - O. Besbes, Y. Gur and A. Zeevi. Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards. Advances in Neural Information Processing Systems 27 (NIPS 2014), Z. Ghahramani and M. Welling and C. Cortes and N.D. Lawrence and K.Q. Weinberger,
4 - Balseiro, S., O. Besbes, and G.Y. Weintraub. Auctions for Online Display Advertising Exchanges: Approximations and Design. ACM Conference on Electronic Commerce, F. Thivet, O. Besbes and D. Knight. Effect of grid resolution on accuracy of skin friction and heat transfer in turbulent boundary layers. AIAA Paper No , AIAA 38th Aerospace Sciences Meeting, Reno, Nevada, Teaching Cases Tahoe Healthcare Systems (2014). with M. Broadie and G. van Ryzin. Used in the Business Analytics core MBA/EMBA classes at Columbia Business School. Nomis Solutions (A&B) (2013). with R. Phillips and D. Chen. Used in the Business Analytics core MBA/EMBA classes at Columbia Business School. Pandora Internet Radio (2013). with M. Broadie and G. van Ryzin. Used in the Business Analytics core MBA/EMBA classes at Columbia Business School. Emergency Department Congestion at Saintemarie University Hospital (2012). with L. Hublet and C. Chan. Used in the Operations Management core MBA class at Columbia Business School. Beleza Natural (2011). with N. Fraiman, M. Olivares, M. Quinteros and G. Weintraub. Used in the Operations Management core MBA/EMBA classes at Columbia Business School. Honors and Awards M&SOM best paper award (2013) INFORMS Revenue Management and Pricing Section Prize (2012) Dean s core teaching award, Graduate School of Business, Columbia University (2012) Management Science Meritorious Service Award (2010, 2013) Operations Research Meritorious Service Award (2012) NET institute grant, with S. Balseiro and G. Weintraub (2012) Ph.D. degree with distinction, Columbia University (2008) Paul M. Montrone Scholar, Columbia University (2005) Nicholas J.Hoff Award for Outstanding Master s Degree Student, Stanford University (2000) Scholarship from Fondation de l École Polytechnique (1999) 4
5 Excellence Scholarship from the French Government (1995) Ph.D. student supervision Juan Manuel Chaneton (expected June 2015, co-advisor with C. Moallemi and G. van Ryzin) Yonatan Gur (2014, co-advisor with A. Zeevi) first position: Stanford University, Graduate School of Business Santiago Balseiro (2013, co-advisor with G. Weintraub and A. Federgruen) first position: Duke University, Fuqua School of Business Thesis committee member: John Yao (expected 2015), Caner Gocmen (2013), Around den Boer (2013), Min Wang (2011), Denis Saure (2011), Chieh Ou-Yang (2010) Invited talks and conferences 2014: University of Pennsylvania (the Wharton School), University of California, Berkeley (Haas School of Business), University of Michigan (Ross School of Business), University of Minnesota (ISyE department), INSEAD, Singapore University of Technology and Design, National University of Singapore Business School, University of Colorado (Leeds School of Business), Revenue Management & Pricing conference, M&SOM Service Management SIG (discussant) 2013: Stanford University (Graduate School of Business), University of Southern California (Marshall School of Business), University of Toronto (Rotman School of Business), IESE, Vrije Universiteit, University of North Carolina Chapel Hill (Kenan-Flagler Business School), Revenue Management & Pricing conference, EC13 conference, M&SOM conference, INFORMS Tutorials 2012: New York University (Stern School of Business), Duke University (Fuqua School of Business), M&SOM conference, Revenue Management & Pricing conference, INFORMS annual meeting 2011: Google research lab,, M&SOM Service Management SIG (discussant), M&SOM conference, Revenue Management & Pricing conference, INFORMS annual meeting 2010: University of Chicago (Booth School of Business), University of Pittsburgh (IE department), INFORMS annual meeting 2009: University of Maryland (Robert H. Smith School of Business), Columbia University (Graduate School of Business), M&SOM conference, Revenue Management & Pricing conference, Applied Probability Conference, INFORMS annual meeting 5
6 2008: M&SOM conference, M&SOM Service Management SIG, Revenue Management & Pricing conference, INFORMS annual meeting 2007: University of Pennsylvania (Wharton School), New York University (Stern School of Business), Harvard Business School, Stanford University (Graduate School of Business), UT Austin (McCombs School of Business), Northwestern University (Kellogg School), INSEAD, Universitat Pompeu Fabra, Cornell University (ORIE School), INFORMS annual meeting 2006: MIT (Sloan School of Management), M&SOM conference, Revenue Management & Pricing conference, INFORMS annual meeting 2005: INFORMS annual meeting Service Internal: Ph.D. program: - program coordinator for the Decision, Risk & Operations division: 08/2012-present - recruiting committee: present MBA program: Academics Committee (2011/2012), speaker at the 2011 Cluster Z Capstone Faculty search committee (Decision, Risk & Operations division): 2010/2011, 2011/2012 External: Associate Editor for: Management Science: Operations Management & Stochastic Models and Simulation, 07/2014-present Special issue on Business Analytics, Operations Research: Stochastic Models, 01/2012-present Referee for: Management Science, Operations Research, Manufacturing & Service Operations Management, Theoretical Economics, Mathematics of Operations Research, Production and Operations Management, INFORMS Transactions on Education, Naval Research Logistics, M&SOM service SIG Conference organizing committee member: 2012 M&SOM conference 2011 INFORMS Revenue Management Conference Prize Committees: 6
7 Revenue Management and Pricing Section Prize committee (2014) INFORMS Nicholson prize committee (2014, 2015) M&SOM student paper competition: i. Co-chair of 2012 competition ii. judge: 2010, 2011, 2013 Judge for Production and Operations Management best paper award (2009) 7
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