I am an Asst. Professor of Computer Science at Tel Aviv University, heading a research lab that focuses on the theoretical and algorithmic foundations of neural networks.
I am also a Co-Founder and the CTO at Imubit, a company that applies neural networks for control and optimization of industrial manufacturing lines, thereby reducing CO2 emissions while improving yield.
"Following my graduation from the program in 2012, I moved to the Hebrew University for an MSc in computer science under the supervision of Prof. Amnon Shashua. In 2013 I was promoted to a direct PhD track, which I have completed in 2017. Since then, I am a postdoctoral scholar at school of mathematics of the Institute for Advanced Study in Princeton.
My research revolves around the theoretical and algorithmic foundations of deep learning. I am interested in developing mathematical tools that will allow better understanding and more principled application of these cutting-edge artificial intelligence technologies."
Nadav was a research scholar at the School of Mathematics in the Institute for Advanced Study of Princeton.
"My works on the analysis of convolutional networks through hierarchical tensor decompositions have been published in top-tier machine learning and computer vision venues (ICML/COLT/ICLR/CVPR). For my contributions to the theoretical understanding of deep learning, I received a number of awards, including the Google Doctoral Fellowship in Machine Learning, the Rothschild Postdoctoral Fellowship and the Zuckerman Postdoctoral Fellowship."
"Try not to focus on grades too much. The undergraduate studies will serve as a basis in the years to come. Try to build the strongest foundations you can."
Nadav is a senior lecturer at the School of Computer Sciences at Tel Aviv University.
Whether you pursue a career in academia or industry (or both), your undergraduate studies will likely serve as a basis for many years to come. Try to build the strongest foundations you can, to not focus on grades too much, and to have fun!