Summary
Hugo Lecomte is a Computer Vision Engineer with 12 years of research and engineering experience bridging deep learning, medical imaging, and computational pathology. He holds a doctoral background in computer science from Université de Bordeaux and has held research and engineering roles at INRIA, IHU LIRYC, and most recently ONERA and the Dr. Senckenberg Institute for Pathology. His work focuses on applied AI for health — cancer research, immunology/virology, and prosthetics — with a strong interest in reproducible science and materials engineering. Comfortable moving projects from academic research to practical systems, he combines rigorous publication-driven methods with hands-on model development and dataset curation. Based in Auvergne-Rhône-Alpes, France, Hugo is actively seeking PhD or data-science roles where he can further translate multidisciplinary AI into improved human outcomes. An often overlooked strength is his cross-domain fluency: he pairs mathematical foundations with real-world biomedical constraints to deliver robust, clinically-minded vision solutions.
12 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Sorbonne Université
Master's degree, Computer Science, Master's degree, Computer Science at Université de Bordeaux