Siamak Ravanbakhsh

Siamak Ravanbaksh has been an assistant professor at McGill University’s School of Computer Science since August 2019. Before joining McGill and Mila as an assistant professor, he held a similar position at the University of British Columbia. Prior to that, he was a postdoctoral fellow at the Machine Learning Department and the Robotics Institute at Carnegie Mellon University and received his Ph.D. from the University of Alberta. He is broadly interested in the problems of representation learning and inference in AI. His current research focuses on the role of invariance and symmetry in deep representation learning.

• Research Interests: Machine Learning, Learning on Graphs, Generative Models, Probabilistic Models
• Personal Website: https://cs.mcgill.ca/~siamak/
• Email: siamak @ cs.mcgill.ca