Seojin Lee

Seojin is a PhD student in the Psychology Department, Neuroscience area. Her research focuses on understanding the computational principles underlying the organization of the visual cortex, particularly the role of early visual stimuli such as retinal waves in shaping cortical structure. She's interested in combining computational modeling and brain data analysis to connect the optimizing principles of the brain and artificial neural networks. Before joining the VPNL in Fall 2025, Seojin earned dual Bachelor's degrees in Computer Science and Cognitive Science from Johns Hopkins University. She then worked as a research assistant with Dr. Elias Issa at Columbia University's Zuckerman Institute, investigating novel training approaches to promote human-like, geometry-based face processing in deep neural networks. Outside the lab, Seojin enjoys running, binge-watching Netflix series, and collecting new plants for her apartment.