Graduate Fellow: Brian Cheung (2015)

Brian Cheung from New York, New York

Studying at UC Berkeley

Research: Brian's recent work includes exploring the hidden factors of variation learned in deep networks, finding correspondences between deep learning algorithms and the human visual system, and using data-driven methods to discover properties of visual processing in the brain. Research link

Bio: Brian Cheung is a PhD Student at UC Berkeley working with Professor Bruno Olshausen at the Redwood Center for Theoretical Neuroscience. His research interests lie at the intersection between machine learning and neuroscience. Drawing inspiration from these fields, he hopes to create systems which can solve complex vision tasks such as navigation and planning.