Nadav Cohen

Nadav Cohen is a research scholar at the School of Mathematics in the Institute for Advanced Study of Princeton. His research focuses on the theoretical and algorithmic foundations of deep learning. In particular, he is interested in the application of tensor analysis for the study of convolutional network architectures.
Nadav earned his PhD at the School of Computer Science and Engineering in the Hebrew University of Jerusalem, under the supervision of Prof. Amnon Shashua. Prior to that, he obtained a BSc in electrical engineering and a BSc in mathematics (both summa cum laude) at the Technion Excellence Program for distinguished undergraduates. 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
September 2017