Graduate Student
Hannah Chen is a student in the Columbia Neurobiology & Behavior PhD program. She graduated from MIT in 2020 with a degree in mathematics with computer science. During her undergrad, she worked with Kay Tye on amygdalostriatal transition zone circuits mediating conditioned fear and reward responses in mice, and with Ed Boyden on a computational model for neuronal cell identification from imaging data. During her time in the Gadagkar lab, she looks forward to integrating experimental neurophysiology with computational modeling to understand how the brain implements reinforcement learning.