Jonathan Shafer

Graduate Student, UC Berkeley

Jonathan is a PhD student in the theoretical computer science group at UC Berkeley. He is interested in computational learning theory, complexity theory, and the cognitive sciences. Before coming to Berkeley, he completed an MSc at Tel Aviv University with a thesis on the connections between learning theory and information theory, supervised by Prof. Amir Shpilka and Prof. Amir Yehudayoff.

Program Visits

Foundations of Deep Learning, Summer 2019, Visiting Graduate Student
Lower Bounds in Computational Complexity, Fall 2018, Visiting Graduate Student
The Brain and Computation, Spring 2018, Visiting Graduate Student
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