Assaf Zeevi is the Henry Kravis Professor of Business at the Graduate School of Business, Columbia University. His research is broadly focused on the formulation and analysis of mathematical models of complex systems. He is particularly interested in the areas of stochastic modeling and statistics, and their synergistic application to problems arising in service operations, revenue management, and financial services. 

Assaf received his B.Sc. and M.Sc. (1997) Cum Lauda from the Technion, in Israel, and subsequently his Ph.D. (2001) from Stanford University. In 2001 he joined the faculty of the Business School at Columbia University. He is a recipient of a CAREER Award from the National Science Foundation (2005), an IBM Faculty Award (2008), a Google Research Award (2009), the INFORMS Revenue Management Society Best Publication Award (2008), and the Dean's Award for Teaching Excellence at Columbia Business School (2004). His research has been funded by grants from the National Science Foundation, the Israel-US Binational Science Foundation, the Caesarea Rothschild Foundation, IBM Research Labs, and Google Inc. 

Assaf consults with various companies in the areas of high technology, financial services, and revenue management, has an on going collaborations with IBM Research Labs, and serves on the Scientific Advisory Board of Nomissolutions Inc. He served as a council member of the Applied Probability Society, and on the editorial boards of Management Science, Mathematics of Operations Research, Manufacturing & Service Operations Management, and Operations Research.   [ Full Vita ]