Martin Vallières devotes much of his current work to the development of a solution for integrative data modeling in oncology. He is leading the development of MEDomicsLab, an open source end-to-end computational platform for precision oncology. This platform will integrate heterogeneous data from hospitals using deep learning and machine learning methods based on graph theory. By contributing to the improvement of predictive models in oncology, MEDomicsLab will become a key artificial intelligence tool in medicine.

  • Precision medicine via medical image analysis
  • Machine learning
  • Graphical neural networks
  • Natural language processing
  • Distributed and federated learning
  • Postdoctoral researcher, 2018-2020

    McGill University, Montreal, Canada

  • Postdoctoral researcher, 2018-2019

    University of California San Francisco, San Francisco, USA

  • Postdoctoral researcher, 2017-2018

    INSERM UMR 1101, Brest, France

  • Ph. D. Medical physics, 2017

    McGill University, Montreal, Canada

  • M. Sc. Medical physics, 2012

    McGill University, Montreal, Canada