Scholar
Mark Schmidt
Google Scholar ID: 5BtEUJcAAAAJ
Professor of Computer Science, University of British Columbia
Citations & Impact
Citations
8,797
H-index
43
i10-index
71
Publications
20
Co-authors
123
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 2025: Dorothy Killam Fellow
- 2024: Arthur B. McDonald Fellow
- 2017: Alfred P. Sloan Fellow
- 2017–2019: CIFAR Senior Fellow, Learning in Machines and Brains
- Published numerous papers in top venues including NeurIPS, ICML, ICLR, JMLR, UAI, AI/Stats
- PhD thesis (2010): 'Graphical Model Structure Learning with L1-Regularization'
- Notable contributions in optimization algorithms, adaptive gradient methods, stochastic optimization, Bayesian learning rule, and reinforcement learning
- Applied research in computer vision: professional face retouching, image segmentation, style transfer, medical image analysis (e.g., mammography, brain tumor segmentation)
Research Experience
- 2024–Present: Professor, University of British Columbia
- 2019–2024: Associate Professor, University of British Columbia
- 2014–2019: Assistant Professor, University of British Columbia
- 2019–Present: Canada CIFAR AI Chair, Alberta Machine Intelligence Institute (Amii)
- 2016–Present: Canada Research Chair in Large-Scale Machine Learning
- 2013–2014: Postdoc at Simon Fraser University, Natural Language Lab
- 2011–2013: Postdoc at École Normale Supérieure, INRIA SIERRA project
- 2010: Postdoc at University of British Columbia, Scientific Computing Lab
- 2006: Intern at Siemens Medical Solutions, Computer-Assisted Diagnosis and Therapy Group
