Disciplines: Neuroscience / Cognitive Science
Samuel Gershman is a postdoctoral research fellow in the Department of Brain and Cognitive Sciences at the Massachusetts Institute of Technology. He received his Ph.D. in psychology and neuroscience from Princeton University in 2013. He did his undergraduate studies at Columbia University, where he majored in neuroscience and behavior. After graduating in 2007, he spent a year at the Center for Neural Science at New York University, studying reinforcement learning in humans and monkeys. His work focuses on computational models of learning and memory, and he is interested in the extent to which we can understand the brain as performing statistical inference. He tests the predictions of these models in humans and animals using behavioral and brain imaging methods.