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Amitai Shenhav is an Associate Professor in the Department of Psychology at the University of California, Berkeley. He holds a Ph.D. from Harvard University and specializes in Cognitive Neuroscience. His research focuses on the neural computational mechanisms underlying motivation, affect, decision-making, and cognitive control. Shenhav's work has been widely published, including notable contributions to journals like Trends in Cognitive Sciences, Nature Human Behavior, and PLOS Computational Biology. He has explored various domains such as the affective gradient hypothesis and the influences of reward and punishment on cognitive control. His lab, the Shenhav Lab, is involved in innovative research aimed at understanding the intricacies of cognitive processes and decision-making behaviors.
The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.