معرفی
Assaf Zeevi is the Kravis Professor of Business at Columbia University's Graduate School of Business (GSB), specializing in Decision, Risk, and Operations. He holds leadership roles, including former Vice Dean at Columbia Business School and Editor-in-Chief of Stochastic Systems. His research focuses on Operations Research, Statistics, and Machine Learning, with applications in dynamic pricing, healthcare analytics, and recommendation systems.
Education:
- B.Sc. and M.Sc. (Cum Laude), Technion, Israel
- Ph.D., Stanford University
Research Interests: Dr. Zeevi develops theory and algorithms for reinforcement learning, bandit problems, stochastic optimization, and statistical learning. His work bridges theoretical foundations with practical applications in online platforms, healthcare, and revenue management.
Awards:
- 2019 Lanchester Prize
- NSF CAREER Award
- IBM Faculty Award
- Google Research Award
Advising & Grants: He has mentored over 14 doctoral students, many now leading academics and industry professionals. His grant-funded research includes projects on secondary spectrum markets, differentiated services design, and stochastic modeling. Funders include NSF, IBM, Google, and the Binational Science Foundation.
Labs & Teams: Collaborates across academia and industry, serving on editorial boards (e.g., Operations Research) and scientific advisory boards for tech startups. Active in INFORMS prize committees and global innovation initiatives.
