Tomer Geva is an assistant professor at Tel Aviv University School of Management.

Previously he was a visiting scholar at NYU Stern School of Business and a post-doctoral research scientist at Google. Tomer holds a Ph.D. and an MBA (cum laude) from Tel-Aviv University and a B.Sc. (cum laude) in Industrial Engineering from the Technion — Israel Institute of Technology. Prior to his Ph.D. studies, he held various engineering and management positions in the high-tech industry.

His research interests include using large-scale data for business decision making, and the effective use of crowd-based information for predictive modeling.

Tomer teaches Data Mining and Business Analytics courses at Tel Aviv University where he heads the Business Analytics Program.