Martin Vallières is an associate professor and applied researcher specializing in integrative modeling of heterogeneous medical data, with 11 years of experience bridging medical physics and computational health. He leads MEDomics, an open-source end-to-end platform for predictive modeling in medicine, and runs the Medomics research lab and platform based in Montreal. His career path spans postdoctoral work at McGill, UCSF, and LaTIM through faculty roles at Université de Sherbrooke and McGill, reflecting deep domain expertise in health/medical physics and translational ML. Trained as a physicist and engineer (PhD and MSc from McGill; BE from Polytechnique Montréal), he combines rigorous quantitative training with practical software development for clinical data. Colleagues describe him as someone who turns complex, heterogeneous datasets into deployable predictive tools—often favoring open, reproducible pipelines over proprietary black boxes.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering - BE, Physical Engineering, 3.77/4.00, Bachelor of Engineering - BE, Physical Engineering, 3.77/4.00 at Polytechnique Montréal
Doctor of Philosophy - PhD, Health/Medical Physics, Doctor of Philosophy - PhD, Health/Medical Physics at McGill University
A repository to develop code for IBSI compliant radiomics applications
Contributions:80 commits, 1 PR, 50 pushes in 4 years 2 months
feature-detectionsciencecompliantquantilepydicom
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