Assaf Zeevi is the recipient of a Faculty Early Career Development Award from the National Science Foundation. Assaf's CAREER award will support his research on "Design and Analysis of Differentiated Services." This project will develop new methods for design, control, performance analysis, and pricing of differentiated services in technologically advanced service operations.
About the Researcher(s)
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Assaf Zeevi
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.