Brice Rauby
Student at École Polytechnique de Montréal
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolBrice Rauby is a PhD candidate in Biomedical/Medical Engineering at Polytechnique Montréal with nine years of experience applying deep learning to medical imaging and computer vision. His internships across GE Healthcare, Gustave Roussy, Qritive and research labs focused on tasks from liver tumor segmentation and survival prediction to giga-pixel histopathology and fingerprint recognition, blending rigorous research with practical, production-minded implementations. Trained at École Centrale Paris and active at MILA, he combines applied mathematics foundations with hands-on model development for semi-supervised and segmentation problems. Notably, he has repeatedly worked on large-scale, high-resolution imaging challenges where data scarcity and annotation cost drive creative algorithmic solutions.
9 years of coding experience
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Ecole Centrale ParisBaccalauréat Scientifique, Très bien, Baccalauréat Scientifique, Très bien at Lycée de la Vallée de ChevreuseDoctor of Philosophy - PhD, Biomedical/Medical Engineering, Doctor of Philosophy - PhD, Biomedical/Medical Engineering at Polytechnique MontréalLycée Hoche (Versailles)
English, French, Spanish
Github Skills (13)
convolutional-neural-networks8
sparse8
manifold7
semantic-segmentation7
computer-vision6
cuda6
deep-learning5
pytorch5
machine-learning4
bioinformatics4
neural-network4
tensorflow4
python3
Programming languages (2)
Github contributions (5)
bricerauby/ItemRecommendation
Mar 2020 - Apr 2020
Contributions:36 commits, 26 pushes, 1 branch in 15 days
bricerauby/Protein_conformation_analysis
May 2020 - Jan 2025
Mode-seeking for detecting metastable states in protein confor- mations
Contributions:10 PRs, 49 pushes, 11 branches in 4 years 8 months
bioinformaticsproteindetectingseeking
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