Meet the collaborators!
PR SÉBASTIEN
GABOURY
Sébastien has been a full professor of Mathematics and Computer Science at the University of Quebec at Chicoutimi (UQAC) in Canada since 2012. In 2016, he took on the role of Director at the Ambient Intelligence for Activity Recognition Laboratory. Additionally, he holds the Canada Research Chair (Tier II) in Ambient Intelligence and Wearable Devices for Technology Support in Health, a position that he has maintained since 2020 and will continue through 2025.
His research primarily explores smart environments and artificial intelligence, with a focus on developing assistive technologies to aid the aging population who have cognitive and/or physical impairments, as well as individuals with rare neuromuscular diseases.
PR FÉLIX
CAMIRAND LEMYRE
Félix Camirand Lemyre is a statistician, methodologist, biostatistician, and associate professor in the Department of Mathematics at the Université de Sherbrooke (UdS). He is also the Director of the Statistical Consulting Center at UdS, a member of the Centre de recherche du Centre hospitalier universitaire de Sherbrooke, and a regular researcher at the GRIIS (https://griis.ca/).
His research focuses on statistical inference procedures for complex exposures measured with errors, dependence modeling, and time series analysis.
PR MARTIN
VALLIÈRES
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.
