Siamak Ravanbakhsh is an Assistant Professor at the School of Computer Science at McGill University, a Canada CIFAR AI Chair, and a Core Member at Mila. His research explores the problem of representation learning, emphasizing symmetry, geometry, and probabilistic inference. Before joining McGill and Mila, he was an Assistant Professor at the University of British Columbia. He spent two years as a postdoctoral fellow at the Machine Learning Department and the Robotics Institute at Carnegie Mellon University, working with Barnabás Póczos and Jeff Schneider. He received his M.Sc. and Ph.D. from the University of Alberta as a member of the Alberta Ingenuity Center for Machine Learning, now Amii, working with Russ Greiner. He holds a B.Sc. from Sharif University of Technology.