Mo Osman
Neuroscience Graduate Student (joint with Rachel Wilson)
Mo is a neuroscience PhD student jointly advised by Cengiz Pehlevan and Rachel Wilson. He is interested in using dynamical systems theory to study how the brain represents the animal’s environment and generates adaptive behavior. Prior to grad school, he developed time series modeling and computer vision algorithms for mouse behavioral data as a software engineer in the Datta Lab and obtained degrees in symbolic systems and computer science from Stanford University.