Assaf Zeevi
- Kravis Professor of Business
- Decision, Risk, and Operations Division
- Contact
- Office: 1115 Kravis
- Phone: (212) 8549678
- E-mail: [email protected]
Assaf Zeevi is the Kravis Professor of Business at the Graduate School of Business, Columbia University. His research and teaching interests lie at the intersection of Operations Research, Statistics, and Machine Learning. In particular, he has been developing theory and algorithms for reinforcement learning, Bandit problems, stochastic optimization, statistical learning and stochastic networks. Application domains include online retail platforms, healthcare analytics, dynamic pricing engines, recommender systems, and social learning in online marketplaces.
Assaf received his B.Sc. and M.Sc. (Cum Laude) from the Technion, in Israel, and subsequently his Ph.D. from Stanford University. He spent time as a visitor at Stanford University, the Technion and Tel Aviv University. He is the recipient of several teaching and research awards including a CAREER Award from the National Science Foundation, an IBM Faculty Award, Google Research Award, as well as several best paper awards including the 2019 Lanchester Prize. Assaf has recently served a term as Vice Dean at Columbia Business School and Editor-in-Chief of Stochastic Systems (the flagship journal of INFORMS' Applied Probability Society). He also serves on various other editorial boards and program committees in the Operations Research and Machine Learning communities, as well as scientific advisory boards for startup companies in the high technology sector.
- Education
-
BSc, Technion; MS, 1997; MS, Stanford; PhD, 2001
- Joined CBS
- 2001
All Activities
Assaf Zeevi Is The Recipient Of A Faculty Early Career Development Award
PhD student Denis Saure wins 2009 MSOM prize
Assaf Zeevi Named School’s Vice Dean for Research
- Case ID
- 80201
Deconstructing the Price of Diamonds
What does a linear regression framework reveal about the so-called priceless commodity?
I wish to thank the funding agencies and grants listed below for their support. I also wish to thank the research funds provided by the Graduate School of Business at Columbia University.
National Science Foundation
IGERT: "From Data to Solutions: A New Ph.D. Program in Transformational Data \& Information Sciences Research and Innovation'' [PI, Julia HIrschberg, Computer Science, Columbia University], 7/2012-6/2017
CCF: "Promoting secondary spectrum markets via profitability-driven
methods and algorithms,'' [w/ David Starobinski and Murat
Alanyali, Boston University] 6/2010 - 6-2014DMII: "CAREER: Design and Analysis of Differentiated Services," 6/2005-6/2010
Israel-US Binational Science Foundation:
Grant #2010021 "Minimax procedures for sequential estimation and optimization,'' [with A. Goldenshluger, Haifa U] 10/2011 -- 10/2015
Grant #2006075 "Nonparametric Estimation and Sequential Adaptive Allocation," [with A. Goldenshluger, Haifa U] 10/2007 -- 10/2011
IBM Faculty Award: (2008-2009)
Optimal Design of Global Service Delivery Operations''
Google Research Award: (2009-2010)
Robust and Decentralized Algorithms for Reservation-based On-line Advertisement''
Additional funding was provided by the following institutes and foundations:
The Caesarea Rothschild Foundation
The Center for Excellence in e-Business (CEBIZ)
The Center for International Business Education and Research(CIBER)
The Chazen Institute.
Vashist Avadhanula (graduated 2018, co-advised with S. Agrawal and V. Goyal)
Current Position: Head of Data Science, Retail Media Platform, Moloco
Thesis title: The MNL-Bandit Problem: Theory and Applications;Dongwook Shin (graduated 2017, co-advised with M. Broadie)
Current position: Assistant Professor, Business School, HKUST (Hong Kong)
Thesis title: Tractable Algorithms for Dynamic Learning and Pricing with Online Product ReviewsOren Anava (graduated 2016, co-advised with S. Mannor and E. Hazan)
Current position: Research staff member, Voleon
Thesis title: Machine Learning and Temporal DataJohn Yao (graduated 2015, co-advised with C. Maglaras)
Current position: Assistant Professor, IE department, University of Miami
Thesis title:Asymptotic Analysis of Service Systems with Congestion Sensitive CustomersYonatan Gur (graduated 2013, co-advised with O. Besbes)
Current position: Assistant Professor, GSB, Stanford University
Thesis title: Sequential Optimization in a Changing Environment: Theory and Application to Content Recommendation Systems
Bora Keskin (graduated 2012, co-advised with J.M Harrison)
Current position: Assistant Professor, Booth GSB, Chicago University
Thesis title: Learning and earning; Algorithms and Analysis
Denis Saure (graduated 2011, co-advised with O. Besbes)
Current position: Associate Professor, ISE Department, University of Chile
Thesis title: Essays in Consumer Choice-based Assortment Planning
Deniz Cicek ( graduated 20, co-advised with M. Broadie)
First position: Barclay's capital
Thesis title: Topics in Stochastic Approximation
Itay Gurvich ( graduated 2008, co-advised with C. Maglaras and W. Whitt )
Current position: Associate Professor, ORIE, Cornell University
Thesis title: Staffing and Control of Many Server Service SystemsOmar Besbes (graduated 2007)
Current position: Associate Professor, Graduate School of Business, Columbia University
Thesis title: Revenue Management under Model Uncertainty: Theory and MethodsZhen Wu (graduated 2006)
First position: Research Associate, CSFB
Thesis title: Essays on Portfolio Credit RiskAchal Bassamboo (graduated 2005, co-advised with Mike Harrison )
Current position: Professor, Kellogg School of Management, Northwestern University
Thesis title: Pointwise Stationary Fluid Models for the Design and Control of Stochastic Processing NetworksGad Allon (graduated 2005, primary adviser Awi Federgruen)
Current position: Professor, Kellogg School of Management, Northwestern University
Thesis title: Competition in Service IndustriesRoy Mashal (graduated 2003)
First position: Vice President, Lehman Brothers
Thesis title: Inferring Dependencies Between Financial Assets with Applications to Multiname Credit Derivatives
Editorial Boards:
- Editor in Chief Stochastic Systems , 2014 -- 2017
- Departmental Editor Management Science, 2009 -- 2014.
- Associate Editor Operations Research, 2006 -- 2012, 2017 -- present
- Associate Editor Mathematics of Operations Research, 2005 -- 2010, 2017 -- present
- Associate Editor Manufacturing & Service Operations Management, 2004 -- 2006, and 2007 -- 2010
- Associate Editor Management Science, 2004 -- 2006
Prize committees:
- Lanchester Prize (INFORMS): 2006-2019 (chair 2018)
- Nicholson Prize (INFORMS): 2007-2009
- Erlang Prize (APS Society): 2010-2012
- Best Paper Award (APS Society): 2010-2012 (chair 2012)