Tomer Geva is an Assistant Professor at the Recanati Business School, Tel Aviv University. Previously, he was a visiting scholar at Stern School of Business, New York University, and a post-doctoral research scientist at Google.
Tomer’s research focuses on understanding the utility and informativeness of large scale data, for the purpose of deriving business decisions. Tomer’s work involves usage of data-science methods for predictive modeling as well as econometric analysis.
Tomer teaches graduate and undergraduate Data Science and Business Analytics courses.
Tomer holds a PhD from Tel-Aviv University, an MBA (cum laude) from Tel-Aviv university, and a BSc (cum laude) in Industrial Engineering from the Technion – Israel Institute of Technology.