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Shaul Druckmann is an Associate Professor at Stanford University in the Departments of Neurobiology and Psychiatry Behavioral Sciences, with a courtesy appointment in Electrical Engineering. His research focuses on understanding the dynamics of neuronal circuits and their relationship to computational representations of information. He employs synergistic strategies, including analyzing neural circuit population recordings and exploring the theoretical aspects of dynamics associated with specific network computations. Additionally, he investigates the structural properties of neural circuits. Dr. Druckmann has received multiple honors, including the Award for Excellence in Graduate Teaching from Stanford University in 2023, and has been recognized as a McKnight Scholar by the McKnight Foundation in 2021 and a Sloan Research Fellow by the Sloan Foundation in 2021.
Stanford University • Stanford, California
Teaching and researching in the fields of neurobiology and psychiatry behavioral sciences.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.