Kevin Feigelis

The David L Sze and Kathleen Donohue Interdisciplinary Fellow
PhD Student
Department of Physics
Originally from New Jersey, Kevin hold a B.S. in Physics from Rutgers University, and is currently a PhD candidate in the Stanford University Physics department. During his quest to uncover the fundamental principles which govern our Universe, he became interested in how these same mathematical tools could be applied to elucidate the nature of human-level intelligence. Advised by Daniel Yamins and co-advised by Mark Schnitzer, Kevin works at the interface of computational neuroscience and artificial intelligence -- creating models which mimic the flexible task learning and switching dynamics observed in humans and other animals when exposed to rich, complex environments.