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Tal Arbel

Tal Arbel


  • Canada CIFAR AI Chair
  • Pan-Canadian AI Strategy




Associate Faculty Member, Mila; Professor, Dept. of Electrical and Computer Engineering, McGill University

Computer vision, deep learning, machine learning for medical image analysis, image analysis of neurological disease, multiple sclerosis, precision medicine, translational machine learning for health research

Major Contributions/Awards:
Pioneering work in the development of new machine learning approaches for medical image analysis, particularly in the context of clinical trial analysis for multiple sclerosis; Among top 10 papers chosen for Special Issue of the International Conference on Medical Image Computing and Computer Assisted Interventions (2019); Co-Investigator (Machine Learning Lead), International Progressive MS Alliance network grant (2016); 2nd Place Longitudinal MS Lesion Segmentation Challenge (2015); NSERC Discovery Accelerator Supplement Award (2010-2013); NSERC University Faculty Award (2001, 2005)

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CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.

MaRS Centre, West Tower
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