Nadav Cohen

Dr. Nadav Cohen serves as an Assistant Professor in the School of Computer Science at Tel Aviv University since 2019, specializing in the theoretical and algorithmic foundations of deep learning. His work bridges mathematical rigor with practical machine learning advancements.

His academic foundation includes dual B.Sc. degrees in Mathematics and Electrical Engineering from the Technion - Israel Institute of Technology (2012), followed by a direct-track Ph.D. in Computer Science from The Hebrew University of Jerusalem (2017). Postdoctoral training included a fellowship at the Institute for Advanced Study's School of Mathematics.

Research focuses on establishing mathematical frameworks for neural network behavior, with implications across artificial intelligence and computational theory. His methodology emphasizes deriving provable guarantees for deep learning systems rather than empirical optimization alone.

Major recognitions include:

• Google Doctoral Fellowship in Machine Learning (2015)
• Rothschild and Zuckerman Postdoctoral Fellowships (2017)
• Hans Wiener Prize for doctoral thesis excellence (2018)
• Undergraduate prizes from Technion (2011-2012)

Funding derives from competitive fellowships and institutional support, though specific grant mechanisms aren't detailed. His trajectory reflects rapid advancement through elite academic channels, with postdoctoral work at premier institutions preceding his faculty appointment.