Nadav Cohen  —  Biography

Nadav Cohen is an Asst. Professor of Computer Science at Tel Aviv University. His research focuses on the theoretical and algorithmic foundations of deep learning. In particular, he is interested in mathematically analyzing aspects of expressiveness, optimization and generalization, with the goal of deriving theoretically founded procedures and algorithms that will improve practical performance.

Nadav earned a BSc in electrical engineering and a BSc in mathematics (both summa cum laude) at the Technion Excellence Program for Distinguished Undergraduates. He obtained his PhD (direct track) at the School of Computer Science and Engineering in the Hebrew University of Jerusalem, under the supervision of Professor Amnon Shashua. Subsequently, he was a postdoctoral research scholar at the School of Mathematics in the Institute for Advanced Study of Princeton, hosted by Professor Sanjeev Arora and Professor Elad Hazan.

For his contributions to the theoretical understanding of deep learning, Nadav received a number of awards, including the Google Doctoral Fellowship in Machine Learning, the Rothschild Postdoctoral Fellowship, and the Zuckerman Postdoctoral Fellowship.

Nadav Cohen
August 2019