Nadav Cohen  —  Biography (see also curriculum vitae)

Nadav Cohen is an Asst. Professor of Computer Science at Tel Aviv University. His research focuses on the theoretical and algorithmic foundations of neural networks. 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 improve practical performance. Nadav is also a Co-Founder and the Chief Scientist at Imubit, a company that applies neural networks for control and optimization of industrial manufacturing lines, thereby reducing CO2 emissions while improving yield.

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 Prof. Amnon Shashua. Subsequently, he was a postdoctoral research scholar at the School of Mathematics in the Institute for Advanced Study of Princeton. For his contributions to the foundations of neural networks, Nadav received various honors and awards, including the Google Doctoral Fellowship in Machine Learning, the Rothschild Postdoctoral Fellowship, the Zuckerman Postdoctoral Fellowship, and the Google Research Scholar Award.

Nadav Cohen
November 2023