Assaf Zeevi is Professor and holder of the Kravis chair at the Graduate School of Business, Columbia University. His research focuses on the formulation and analysis of mathematical models of complex systems, with particular research and teaching interests that lie at the intersection of Operations Research, Statistics, Computer Science and Economics. Recent research has centered on problems arising in the data science and machine learning space, with application domains that include healthcare analytics, dynamic pricing and demand learning, the design of recommendation engines, online retail and assortment selection, and the valuation and monetization of digital goods.
Assaf received his B.Sc. and M.Sc. (Cum
Laude) from the Technion, in Israel, and subsequently his Ph.D. from
Stanford University. He is the recipient of several research awards
including a CAREER Award from the
National Science Foundation, an IBM Faculty Award, Google Research Award, as well as several best paper recognitions. Assaf has recently served as Vice Dean for Research at Columbia Business School, and Editor-in-Chief of Stochastic Systems (the flagship journal of INFORMS Applied Probability Society). He is currently serving on several editorial boards in his professional community, as well as scientific advisory boards for startup companies in the high technology sector.