Dr. Mark Schmidt

Biography

Mark Schmidt is an Associate Professor in the Department of Computer Science at the University of British Columbia (UBC), where he has been since 2014. His research focuses on the development of faster algorithms for large-scale machine learning, particularly emphasizing methods with provable convergence rates that are applied to structured prediction problems. Prior to his current role, he worked at École normale supérieure in Paris from 2011 to 2013, specializing in inexact stochastic convex optimization methods. Schmidt completed his M.Sc. in 2005 at the University of Alberta, where he was part of the Brain Tumor Analysis Project. He obtained his Ph.D. in 2010 from UBC, concentrating on graphical model structure learning with L1-regularization. His professional experience includes working for Siemens Medical Solutions on heart motion abnormality detection and collaboration with Michael Friedlander in the Scientific Computing Laboratory at UBC on semi-stochastic optimization methods. Additionally, he has collaborated with Anoop Sarkar from Simon Fraser University on large-scale training of natural language models.

Research Interests

Experience