Joel Zylberberg is an Associate Fellow of Learning in Machines and Brains at CIFAR, Faculty Affiliate of the Vector Institute, and Canada Research Chair in Computational Neuroscience at York University. Joel’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. Joel received his PhD 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, Joel moved his laboratory to York University in Toronto, Canada.
Associate Professor, Department of Physics and Astronomy, Faculty of Science, York University
Electrical Engineering and Computer Science Graduate Program; Brain, Behaviour, and Cognitive Science Graduate Program; Centre for Vision Research (Cross-Appointment)
- Representation Learning
- Deep Learning
- Sloan Research Fellowship
- Google Faculty Research Award
- CIFAR Fellow