Joel Zylberberg
Role: Scientist
Site: CDL-Toronto
Stream: Neuro
Joel Zylberberg is Associate Fellow of Learning in Machines and Brains at CIFAR, and Canada Research Chair in Computational Neuroscience at York University. Zylberberg’s research lies at the intersection of machine learning and neuroscience, and his excellence in these areas has been recognized by multiple awards including the Google Faculty Research Award in Computational Neuroscience, Sloan Foundation Research Fellowship in Neuroscience, and the CIFAR Azrieli Global Scholar Award for Learning in Machines and Brains. Zylberberg received his Ph.D. in Physics from U.C. Berkeley in 2012, was Acting Assistant Professor of Applied Mathematics at U. Washington from 2012-2015, and was Assistant Professor of Physiology and Biophysics at the U. Colorado School of Medicine from 2015-2018. In 2019, Zylberberg moved his laboratory to York University, where he is currently Associate Professor of Physics.