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 Deep Learning. In particular, he analyzes expressiveness, optimization and generalization in Deep Learning, with the goal of deriving theoretically grounded algorithms that improve practical performance. Bridging theory and practice, Nadav is also a Co-Founder and the CTO at Imubit, a company that utilizes Deep Reinforcement Learning to boost yields and reduce emissions in industrial manufacturing. 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 Deep Learning, Nadav has 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 |