Martin Vallières is an assistant professor in the Department of Computer Science at the Université de Sherbrooke (April 2020). He obtained a PhD in medical physics from McGill University in 2017 and completed postdoctoral training in France and the United States in 2018 and 2019. Martin Vallières’ main research focuses on developing clinically actionable models to better personalize cancer treatment and care (“precision oncology”). He is an expert in radiomics (high-throughput quantitative analysis of medical images) and machine learning in oncology. Throughout his career, he has developed numerous predictive models for different types of cancer. Holder of a Canada Chair in Artificial Intelligence, Martin Vallières, devotes much of his current work to developing a solution for integrative data modelling in oncology. He is leading the development of MEDomicsLab, an open-source, end-to-end computing platform for precision oncology. This platform will integrate heterogeneous hospital data using deep learning and machine learning methods based on graph theory. By contributing to improving predictive models in oncology, MEDomicsLab will become a decisive artificial intelligence tool in medicine. Martin Vallières is also a member of the Mila artificial intelligence research institute.