Nadav Cohen

Nadav Cohen is an Associate Professor of Computer Science & AI at Tel Aviv University and co-founder of Imubit, where he serves as CTO and President. His research focuses on the theoretical and algorithmic foundations of deep learning, particularly analyzing expressiveness, optimization, and generalization in neural networks through mathematical frameworks like tensor analysis.

• B.Sc. in Electrical Engineering & Mathematics, Technion (summa cum laude)
• Ph.D. in Computer Science, Hebrew University of Jerusalem (direct track)
• Postdoctoral Fellow, School of Mathematics, Institute for Advanced Study (Princeton)

His work explores implicit regularization, gradient descent dynamics, and the role of depth in neural networks, often intersecting with tensor methods. Awards include the ERC Starting Grant, Google Research Scholar Award, and multiple fellowships.

• Advised notable students like Noam Razin, recipient of the Israel Council for Higher Education Fellowship
• Founded a research group at Tel Aviv University (2019–present) with current and alumni students
• Developed lecture notes on linear neural networks and hosted industry leaders like OpenAI's CEO