Nadav Cohen — Biography (see also curriculum vitae)Nadav Cohen is an Assoc. Professor of Computer Science & AI at Tel Aviv University. His research focuses on the theoretical and algorithmic foundations of neural networks (a.k.a. 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 improve practical performance. Nadav is also the CTO, President and a Co-Founder at Imubit, a company that improves yields and reduces emissions in industrial manufacturing through neural-network-based (a.k.a. deep) reinforcement learning. Nadav earned a dual BSc in electrical engineering and mathematics (both summa cum laude) at the Technion Excellence Program. 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 fellow at the School of Mathematics in the Institute for Advanced Study (Princeton), hosted by Prof. Sanjeev Arora and Prof. Elad Hazan. For his contributions to the foundations of neural networks, Nadav received various honors and awards, including the ERC Starting Grant, the Google Research Scholar Award, the Google Doctoral Fellowship in Machine Learning, the Rothschild Postdoctoral Fellowship, and the Zuckerman Postdoctoral Fellowship. Nadav Cohen |