Martin Vallières, Université de Sherbrooke

Research

distributed learning from federated healthcare databases electronic health records graphical stuctures and embeddings graph neural networks heterogeneous data modeling and representations multi-omics data natural language processing from medical text notes precision medicine

Latest funding

Valoriser la donnée de vie réelle pour soutenir l'usage optimal du médicament
CIHR · 2025 · Co-investigator
$742,050
Performing a Rare disease-Oriented Master Observational Trial to decipher complexity and optimize trial readiness
CIHR · 2023 · Co-investigator
$431,253
Multilevel graphical modeling of heterogeneous healthcare data in a federated learning setting
NSERC · 2021 · Principal investigator
$96,000

All 5 grants and awards

Valoriser la donnée de vie réelle pour soutenir l'usage optimal du médicament

Co-investigatorCIHR2025Project Grant

Principal investigators: Motulsky, Aude; NIKIEMA, Jean N

Keywords: Codesign; Data Engineering; Digital Intervention; Implementation; Knowledge Engineering; Ontology; Pharmacovigilance; Semantic Web; Symbolic Artificial Intelligence; Terminology

$742,050

Performing a Rare disease-Oriented Master Observational Trial to decipher complexity and optimize trial readiness

Co-investigatorCIHR2023Team Grant: E-Rare Joint Transnational Call

Principal investigators: Gagnon, Cynthia

Keywords: Artificial Intelligence; Master Observational Trial; Natural History Study; Neuromuscular Disorders; Omics Platform; Patient-Partner Approach; Proactive Biomarkers Identification

$431,253

Multilevel graphical modeling of heterogeneous healthcare data in a federated learning setting

Principal investigatorNSERC2021Discovery Grants Program - Individual

Principal investigators: Vallières, Martin

Keywords: precision medicine; graph neural networks; quantitative analysis of medical images; natural language processing from medical text notes; electronic health records; multi-omics data; heterogeneous data modeling and representations; graphical stuctures and embeddings; distributed learning from federated healthcare databases; preserving patient privacy

$96,000

Multilevel graphical modeling of heterogeneous healthcare data in a federated learning setting

Principal investigatorNSERC2021Discovery Launch Supplement

Principal investigators: Vallières, Martin

$12,500

Development of Artificial Intelligence Techniques for Automated Electric Power Asset Identification

Principal investigatorNSERC2020Alliance Grants

Principal investigators: Vallières, Martin

$66,200

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Applying for

Mention their NSERC grant from 2021

Subject: Prospective PhD student: distributed learning from federated healthcare databases Dear Professor Vallières, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on distributed learning from federated healthcare databases connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Multilevel graphical modeling of heterogeneous healthcare data in a federated learning setting" (2021), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]