Yuri Levin

Yuri Levin is a Professor of Management Analytics at Smith School of Business. Previously, he was Rector (Dean) of Moscow School of Management Skolkovo, Stephen J.R. Smith Chair of Analytics, Executive Director of Analytics and AI, and the founding Director of the Scotiabank Centre for Customer Analytics at Smith School of Business. He was also a founding Director of Smith's Master of Management Analytics program.

In 2016, Yuri was named by Poets and Quants as one of the Top 40 Professors Under 40 Worldwide. He teaches analytical decision making, strategic analytics, and pricing analytics courses for MBA, MMA, and Executive Education programs. He holds a PhD in Operations Research from Rutgers University in the U.S. where he taught multiple MBA programs for 3 years before joining Queen's in 2002. Yuri was the 2013 and 2014 recipient of the MBA Professor of the Year Award and the 2014 and 2015 recipient of the Master of Management Analytics Professor of the Year Award.

He has developed innovative approaches and published widely in the general area of revenue management and dynamic pricing. He was a co-winner of the 2013 INFORMS Revenue Management and Pricing Practice Prize for pricing and promotions analysis at Molson Coors Brewing Company and a co-winner of the 2009 INFORMS COIN-OR Cup for applications of COIN-OR technologies in development of novel techniques for cargo capacity management and dynamic pricing. He was also the 2010 recipient of Smith School of Business' Award for Research Achievement and the 2003 New Researcher Achievement Award. He served as Chair of INFORMS Revenue Management and Pricing section, Associate Editor of Management Science and Operations Research. Yuri's research has been funded by the NSERC. Yuri has consulted widely on consumer behavior modeling and optimization of pricing and has developed corporate training programs in strategic analytics, analytical decision making, and strategic pricing optimization.

Academic Area

• Management Analytics

Interest Topics

• Analytics & AI

Academic Degrees

• Ph.D. Operations Research RUTCOR, Rutgers, The State University of New Jersey (2001)
• M.S. (honors) Applied Mathematics Belarus State University, Minsk, Belarus (1998)
• B. S. Economics Belarus State University, Minsk, Belarus (1998)

Academic Experience

Smith School of Business, Queen's University

• Founding Executive Director, Analytics and AI (2018-2020)
• Founding Director, Scotiabank Centre for Customer Analytics (2016-2020)
• Founding Director, Master of Management Analytics (2012-2017)
• Stephen J.R. Smith Chair of Analytics (2016-2020) Chaired Professor of Operations Management (2015-2016)
• Distinguished Professor of Management Science and Operations Management (2011-2015)
• Professor (2011-2020)
• Distinguished Faculty Fellow in Operations Management (2008-2011)
• Associate Professor (with tenure) (2008-2011)
• Assistant Professor (2002-2008)

Rutgers University School of Business

• Assistant Professor, Department of MSIS (2001-2002)
• Instructor, Department of MSIS (2000-2001)

Teaching

Courses

• Queen’s Exec. Ed. Trusted Data and AI Program (Faculty Lead)
• Queen’s Exec. Ed. Scotiabank Analytics Program (Faculty Lead)
• Queen’s Exec. Ed. Loblaw Analytics Program (Faculty Lead)
• Queen’s Exec. Ed. LoyaltyOne Analytics Program (Faculty Lead)
• Queen’s Exec. Ed. TD Bank Analytics Program (Faculty Lead)
• Queen’s Exec. Ed. Digital Transformation
• Queen’s Exec. Ed. Strategic Analytics
• Queen’s MMA 830: Pricing Analytics
• Queen’s MMA 861: Analytical Decision Making
• Queen’s MBA 830: Dynamic Pricing and Revenue Management
• Queen’s MBAs 861: Analytical Decision Making
• Skolkovo EMBA: Decision Making
• Skolkovo MBA: Operations Management
• Queen’s Ph.D./M.Sc. 860: Deterministic OR Models
• Queen’s Ph.D. 963: Optimization Theory
• Queen’s Commerce 163: Business Decision Models
• Rutgers MBA 575: Data Models
• Rutgers MBA 574: Deterministic Optimization Models
• Rutgers MBA 578: Operations Management
• Rutgers MBA 960: Statistical Models
• Rutgers Business 386: Operations Management
• Rutgers Business 385: Statistical Methods in Business

Awards

Fellowships

• Distinguished Faculty Research Fellow in Operations Management, Queen’s School of Business (2005-2008)
• Excellence Fellowship, Rutgers University, NJ, USA (1998-2000)

Research Awards

• Award for Research Achievement, Queen’s School of Business (2010)
• New Researcher Achievement award (for outstanding body of research within 10 years of dissertation), Queen's School of Business (2003)

Teaching Awards

• Master of Management Analytics Professor of the Year (2015)
• MBA Professor of the Year (2014)
• Master of Management Analytics Professor of the Year (2014)
• MBA Professor of the Year (2013)
• Nominee for MBA Professor of the Year (2008, 2009, 2010)

Other

• Co-winner 2020 UPS George D. Smith Prize by INFORMS (2020)
• Chair of the Digitization Committee, Supervisory Board of Bank of Saint-Petersburg (2020-Present)
• Top 40 Professors Under 40 Worldwide (by Poets and Quants) (2016)
• Winner of 2013 INFORMS Revenue Management & Pricing Practice Prize (with J. McGill, M. Nediak, Pricing Solutions, and Molson Coors) (2013)
• Recipient of Management Science Meritorious Service Award (2013)
• Co-winner 2009 INFORMS COIN-OR Cup (2009)
• Best paper within the track “Location and Dynamic Pricing” of INCOM 2006, Saint Etienne , France (with T. Levin, J. McGill and M. Nediak) (2006)
• Soros Excellence Award, Minsk, Belarus (1998)

Publications

Papers Published or Accepted for Publication

Wang, J., Levin, Y., and Nediak, M. (2020) Selling Passes to Strategic Consumers. Forthcoming in Operations Research

Bazhanov, A., Levin, Y., and Nediak, M. (2019) Resale Price Maintenance with Strategic Consumers. Production and Operations Management, 28 (3), 535-549

Garza, J., Levin, Y., Nediak, M., and Sergienko, I. (2018) How One Company Made Its Analytics Investment Pay Off, Harvard Business Review

Maslove, D. and Levin, Y. (2018) What the Business School can teach the Medical School about precision, and vice versa. Journal of Critical Care, May 10. p. S0883-9441 (18) 30543-4

Aviv, Y., Bazhanov, A., Levin, Y., and Nediak, M. (2017) Quantity Competition when Most Favored Customers are Strategic. Production and Operations Management, 26 (11), 2107-2121

Kirshner S., Levin, Y., and Nediak, M. (2017) Product Upgrades with Stochastic Technology

Advancement, Product Failure, and Brand Commitment. Production and Operations Management, 26 (4), 742756

Levin T., Levin, Y., McGill, J., and Nediak, M. (2015) Strategic Consumer Collaboration in a NameYour-Own-Price Channel. Production and Operations Management, 24 (12), 1883-1900

Levin, Y., Nediak, M., and Bazhanov, A. (2014) Quantity Premiums and Discounts in Dynamic Pricing. Operations Research, 62 (4), 846-863

Levin, Y., Nediak, M., and Topaloglu, H. (2012) Cargo Capacity Management with Allotments and Spot Market Demand. Operations Research, 60 (2), 351-365

Levin, T., Levin, Y., McGill, J., and Nediak, M. (2011) Network Cargo Capacity Management. Operations Research, 59 (4), 1008-1023

Levin, T., Levin, Y., McGill, J., Nediak, M., and Vovk V. (2010) Weak Aggregating Algorithm for the Distribution-Free, Multi-period, Newsvendor Problem. Operations Research Letters, 38 (6), 516-521

Levin, Y., McGill, J., and Nediak, M. (2010) Optimal Dynamic Pricing of Perishable Items by a Monopolist Facing Strategic Consumers, Production and Operations Management, 19 (1), 40-60

Levin, Y., McGill, J., and Nediak, M. (2009) Dynamic Pricing in the Presence of Strategic Consumers and Oligopolistic Competition, Management Science, 55 (1), 32-46

Levin, T., Levin, Y., McGill, J., and Nediak, M. (2009) Dynamic Pricing with Online Learning and Strategic Consumers: an Application of the Aggregating Algorithm. Operations Research, 57 (2), 327-341

Aviv, Y., Levin, Y., and Nediak, M. (2009) Counteracting Strategic Consumer Behavior in Dynamic Pricing Systems. Chapter 12, pp. 323-352 in Consumer-Driven Demand and OM Models (Eds. S. Netessine, and C. S. Tang), Springer, ISSN 0884-8289

Ben-Israel, A. and Levin, Y. (2011) The Newton Bracketing Method for Convex Minimization: Convergence Analysis. Chapter 4, pp. 49-63 in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, (Eds. H. H. Bauschke, R. S. Burachik, P. L. Combettes, V. Elser, D. R. Luke and H. Wolkowicz), Springer

Levin, Y. and McGill, J. (2009) Introduction to the Special Issue on Revenue Management and Dynamic Pricing. European Journal of Operational Research, 197 (3), 845-847

Levin, Y., McGill, J., and Nediak, M. (2008) Risk in Revenue Management and Dynamic Pricing. Operations Research, 56 (2), 326-343

Levin, Y., McGill, J., and Nediak, M. (2007). Price Guarantees in Dynamic Pricing and Revenue Management, Operations Research, 55 (1), 75-97

Levin T., Levin, Y., McGill, J., and Nediak, M. (2007). Linear Programming with Online Learning, Operations Research Letters 35, 612-618

Levin T., Levin, Y., McGill, J., and Nediak, M. (2006). Dynamic Pricing with Online Learning of General Reservation Price Distribution, in Proceedings of INCOM 2006: 12th IFAC Symposium on Information Control Problems in Manufacturing, Elsevier, 461-466

Ben-Israel, A. Levin, Y., Levin, G., and Rozin, B. (2008). Approximate Methods for Convex Minimization Problems with Series-Parallel Structure. European Journal of Operational Research 127 (3), 841-855

Ben-Israel, A. and Levin, Y. (2008). The Newton Bracketing Method for the Minimization of Convex Functions subject to Affine Constraints . Discrete Applied Mathematics, 156/11, 1977-1987

Ben-Israel, A. and Levin, Y. (2006). The Geometry of Linear Separability in Data Sets, Linear Algebra and Applications, 416/1, 75-87.

Levin, Y. and Ben-Israel, A. (2004). A Heuristic Method for Large-Scale Multifacility Location Problems, Computers and Operations Research, 31, 257--272.

Levin, Y. and Ben-Israel, A. (2003). An inverse-free directional Newton method for solving systems of nonlinear equations, Progress in Analysis, Proceedings of the 3rd Int'l ISAAC Congress, Heinrich G W Begehr. Robert P Gilbert and Man Wah Wong, Editors, Vol 2, 1447-1457, World Scientific, Singapore, ISBN 981-238-967-9.

Levin, Y. and Ben-Israel, A. (2002). Directional Newton Methods in n Variables, Mathematics of Computations, 71, 251-262.

Levin, Y. and Ben-Israel A. (2002). The Newton Bracketing Method for Convex Minimization,

Computational Optimization and Applications, 21, 213--229.

Levin, Y. and Ben-Israel, A. (2001). A Newton Method for Systems of m Equations in n Variables, Nonlinear Analysis, 47, 1961-1971.

Levin Y. and Ben-Israel, A. (2001). Directional Halley and Quasi-Halley Methods in n Variables,

Special Volume on "Inherently Parallel Algorithms in Feasibility and Optimization and Their Applications", D. Butnariu, Y. Censor and S. Reich (Editors), A Volume in the Series: "Studies in Computational Mathematics", Elsevier Science, Amsterdam, 345--365.

Levin, Y., Nediak, M. and Ben-Israel, A. (2001). A Direct Newton Method for Calculus of Variations, Journal of Comput. & Applied Mathematics, 139/2, 197-213.

Levin, Y. and Ben-Israel, A.(2001). An Estimation Algorithm using Distance Clustering of Data. OPSEARCH, 38, 443--455.

Levin, Y. and Melnikov, O. (1999). Cutpoints of a Realization of a Hypergraph. Vesti of Belarus Academy of Science, 2, 127-131.

Melnikov, O. and Levin, Y. (1997). Realization of a hypergraph by a k-caterpillar. Vestn. Belarus State Univ., Ser. 1,(2), 43--46.