Summary
Gabriel Chartrand is a CTO and machine learning engineer with nine years of experience specializing in biomedical imaging, medical NLP, and production-ready microservices. With a PhD in biomedical engineering from ÉTS, he has a track record of prototyping 3D organ segmentation and vascular modeling tools that bridge academic research and clinical workflows. He has applied deep learning across segmentation, detection and clinical-text extraction while building backend and frontend systems in Python and JavaScript (Keras/TensorFlow/PyTorch, Flask/Django, Vue.js). At Imagia and AFX Medical he moved research models toward domain-adapted prototypes and production microservices, handling DICOM pipelines and NoSQL curation along the way. Curious about system-level languages and 3D technologies, he combines rigorous research experience with hands-on product delivery and ISO-13485-informed quality awareness.
9 years of coding experience
8 years of employment as a software developer
Baccalauréat en génie mécanique Génie mécanique, Baccalauréat en génie mécanique Génie mécanique at Université Laval
Doctor of Philosophy (PhD) Biomedical/Medical Engineering, Doctor of Philosophy (PhD) Biomedical/Medical Engineering at École de technologie supérieure
Baccalauréat Génie mécanique, Baccalauréat Génie mécanique at Université de Technologie de Compiègne (UTC)
French, English