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Photo by Eva Blue


Professor, Dept. of Electrical and Computer Engineering


Canada CIFAR AI Chair, MILA


Member of the McGill Centre for Intelligent Machines


Research Director of the Probabilistic Vision Group, and Electrical & Computer Engineering "Medical Imaging Lab"


Editor-in-Chief, Journal on Machine Learning for Biomedical Image Analysis (MELBA)


Associate Member of MILA


Associate Member of Goodman Cancer Research Centre


Member of the Ordre des ingenieurs du Quebec


P.Eng.



Research Interests


My research goals are to develop new probabilistic machine learning frameworks in computer vision and in medical imaging, particularly in the context of neurology and neurosurgery. This includes the development of probabilistic graphical models for pathology (lesion, tumour) detection and segmentation in large, multi-center patient images dataset, on automatically identifying imaging biomarkers that predict disease progression in patients as well as potential responders to treatment. I have worked extensively on developing fast and efficient multi-modal image registration techniques for clinical interventions, such as image-guided neurosurgery.

Key topics of interest: Bayesian inference, statistical models, statistical pattern recognition, information theory, face detection and trait classification, medical image analysis, neurology and neurosurgery, including multi-modal image registration and lesion and tumour, detection, segmentation, classification and prediction.

Various Community Activities and News


  • Editor-in-Chief, Journal Launch Editorial Executive Board Member, Journal on Machine Learning for Biomedical Image Analysis (MELBA), 2020-present.
  • Canadian AI CIFAR Chair Recipient, MILA, 2019-2024.
  • Invited Keynote Speaker, 11th Israel Machine Vision Conference (IMVC), "Modelling and Propagating Uncertainties in Machine Learning for Medical Image of Patients with Neurological Diseases", Virtual Conference, October 2020.
  • Invited Plenary Speaker, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 20), "Modelling and Propagating Uncertainties in Machine Learning for Medical Images: Lesion and Tumour Detection, Segmentation, Synthesis and Prediction of Future Disease Evolution", Virtual conference, July 2020.
  • Conference Co-organizer, Senior Program Co-chair, the 3rd International Conference on Medical Imaging with Deep Learning (MIDL), Virtual Conference, July 2020.
  • Workshop Co-organizer, "MCV: Medical Computer Vision", Workshop held in conjunction with the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, June 2020.
  • Invited Plenary Speaker, 2020 Organization of Human Brain Mapping Annual Meeting (OHBM) Symposium, "Modelling and Propagating Uncertainties in Machine Learning for Medical Images of Patients with Neurological Diseases", Virtual Conference, June 2020.
  • Co-organizer, Multimodal Brain Tumour Segmentation Challenge (BraTS) 2019, "Quantification of Uncertainty in Brain Tumour Segmentation", MICCAI 2019, MICCAI 2020.
  • Co-organizer, UNSURE: International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, held in conjunction with MICCAI 2019, MICCAI 2020.
  • Winner of the McGill Engineering Christophe Pierre Research Award 2019
  • Invited Plenary Speaker, 2019 Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), "Machine Learning in Medical Image Analysis: Towards MRI-Based Precision Medicine", Montreal, Quebec, Canada, 2019.
  • Scientific Advisory Board Member Member, Montreal AI Symposium (MAIS) 2019-2021.
  • Invited Keynote Speaker, 2018 Workshop on Medical Imaging Meets NeurIPS, "Is Your Machine Learning Method Solving a Real Clinical Problem?", Montreal, Quebec, Canada, 2018.
  • Area Chair, International Conference on Computer Vision (ICCV) 2019.
  • Invited Keynote Speaker, 2018 MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, "Challenging Conventional Segmentation Evaluation Metrics for Focal Pathology (Lesion and Tumour) Segmentation from Patient Images", Granada, Spain, 2018. Link to slides.
  • Invited Opening Keynote Speaker, 2018 Winter Applied Computer Vision (WACV) Conference, "Probabilistic Machine Learning for Lesion and Tumour Detection, Segmentation and and Disease Prediction in Patient Brain Images", Lake Tahoe, CA, 2018. Link to presentation.
  • Local Industry Sponsorship Chair, International Conference on Computer Vision (ICCV) 2021
  • Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017-2020.
  • Editorial Board Member, Computer Vision and Image Understanding (CVIU), 2016-2019.
  • Satellite Events Chair, International Conference on Medical Image Computing and Computer Aided Intervention (MICCAI), Quebec, Canada, 2017.
  • Program Committee Member, 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2016.
  • Area Chair, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2014, 2016, 2021.
  • Invited Presenter, First Amazon Faculty Invitational Research Symposium, May 4-5, 2015, Seattle, WA, USA.
  • Invited Speaker, International Symposium on Biomedical Imaging (ISBI) 2015: "Special Session on Current Challenges and Methodological Advances in Medical Image Registration, Brooklyn, New York, 2015.
  • Workshop Co-organizer, "BAMBI: Bayesian and grAphical Models for Biomedical Imaging Workshop", Workshop held in conjunction with The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Munich, Germany, October, 2015.
  • Guest Editor, Computer Vision and Image Understanding (CVIU): "Special Issue on Probabilistic Models for Biomedical Image Analysis"
  • Session Chair, Session on "Segmentation and Grouping", IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
  • Workshop Co-organizer, "BAMBI: Bayesian and grAphical Models for Biomedical Imaging Workshop", Workshop held in conjunction with The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), MIT, Cambridge, MA, USA, September 2014.
  • General Chair, the joint 20th Canadian Conference on Artifical Intelligence, the 33rd Graphics Interface Conference, the 4th Canadian Conference on Computer and Robot Vision, and the 17th Annual Canadian Conference on Intelligent Systems, May 2007.
  • Outstanding Reviewer Award , CVPR 2013: 26th IEEE Conference on Computer Vision and Pattern Recognition.

  • Media

    ISMRM 2019 Interview: "AI Paves the Way for Precision Medicine"

    McGill Reporter article

    MICCAI 2018 Daily News

    Computer Vision News
    McGill Alumni Magazine
    YesMontreal
    Headway: McGill Research Magazine Headway: McGill Research Magazine Bioengineering: McGill Engineering e-bulletin Bioengineering: McGill Engineering e-bulletin