ĢƵ

Martin Vallières

Title: 
Prof
Academic title(s): 

Associate Professor, Bronfman Department of Oncology & Medical Physics Unit, ĢƵ

Investigator, Research Institute - ĢƵ Health Centre

Investigator, Lady Davis Institute for Medical Research

Associate Academic Member, Mila - Quebec AI Institute

Martin Vallières
Contact Information
Email address: 
martin.vallieres [at] mcgill.ca
Address: 

Cedars Cancer Centre, Medical Physics DS1.7137

ĢƵ Health Centre - Glen Site

1001 boul. Décarie

Montréal, QC H4A 3J1

Group: 
Associate Professor
Degree(s): 

BEng, Physics (Polytechnique '10)

MSc, Medical Physics (ĢƵ '12)

PhD, Medical Physics (ĢƵ '17)

Postdoc, Medical Physics (Brest '18)

Postdoc, Medical Physics (UCSF '19)

Biography: 

Prof. Martin Vallières is a researcher developing AI methods for Precision Medicine. His research expertise is at the intersection of AI and clinical sciences. His distinct research background contributed to the development of this “hybrid” type of expertise, one of key importance to accelerate the adoption of AI methods in the clinical environment.

Prof. Vallières studied Physics Engineering at the Bachelor's level. From 2010 to 2017, he studied Medical Physics at the MSc and PhD levels and developed multiple predictive models for different cancer types. From 2017 to 2020, he pursued different postdoctoral internships in which he developed multimodal predictive models in oncology. On April 1, 2020, he joined the Department of Computer Science at Université de Sherbrooke as an Assistant Professor and a Canada CIFAR AI Chair. 

On August 1, 2025, Prof. Vallières changed affiliation and was appointed Associate Professor at the Medical Physics Unit of the Gerald Bronfman Department of Oncology at ĢƵ. This new appointment will allow Prof. Vallières to be in closer relations with clinical research teams and health domain end-users, a key point for the success of his research program. Prof. Vallières is also an Investigator at the Research Institute of the ĢƵ Health Centre (RI-MUHC), an Investigator at the Lady Davis Institute for Medical Research (LDI), an Associate Academic Member at Mila - Quebec AI Institute and a Co-Director of Réseau santé numérique (RSN) at FRQ - Santé.

Location: 
Glen Hospital
Office: 
DS1.7137
Research areas: 
Informatics
Current research: 

Please visit and

Areas of interest: 

Medical image analysis, machine learning, graph neural networks, federated learning, software engineering.

Selected publications: 

Please visit

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