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Siamak Ravanbakhsh

Assistant Professor,
Computer Science Department,
University of British Columbia,
Room ICCS-191, 2366 Main Mall
Vancouver, BC V6T1Z4, Canada
Phone: +1 (604) 827-4311


My research area is machine learning, an approach to Artificial Intelligence that relies on learning from data, rather than explicit instructions. I'm broadly interested in inference within structured, complex and combinatorial domains using graphical and structured deep models. In addition to its potential role in artificial general intelligence, our ability to draw inference in structured domains, is essential in a data-driven approach to science. I'm especially excited about applications in astronomy and cosmology.

Peer-Reviewed Publications

Preprints and Technical Reports


A Short Biography

Before joining the Computer Science Department at UBC in the summer of 2017, I was a postdoctoral fellow at Machine Learning Department and Robotics Institute at Carnegie Mellon University, where I worked with Barnabás Póczos and Jeff Schneider . I was affiliated with the Auton Lab and the McWilliams Center for Cosmology. I obtained my M.Sc. and Ph.D. at University of Alberta, advised by Russell Greiner. There, I was affiliated with Alberta Ingenuity Center for Machine Learning (now amii) as well as The Metabolomics Innovation Centre. Before that, I received my B.Sc. from Sharif University.