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Samuel J. Gershman is a Professor in the Department of Psychology at Harvard University. His research focuses on computational cognitive neuroscience, exploring how structured knowledge influences adaptive behavior. Gershman employs a mix of behavioral experimentation, neuroimaging, and computational methods to address key questions in the fields of learning, memory, and decision-making. He obtained his B.A. in Neuroscience and Behavior from Columbia University in 2007 and went on to earn his Ph.D. in Psychology and Neuroscience from Princeton University in 2013. Following this, he completed a postdoctoral fellowship at the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology, where he further developed his expertise in cognitive neuroscience.
Department of Brain and Cognitive Sciences, MIT • Cambridge, MA
Conducted research in computational cognitive neuroscience.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).