Summary
Guillaume Balezo is a PhD student at Mines Paris-CBIO and Sanofi specializing in computer vision and AI for digital pathology, with eight years of hands-on experience bridging research and industry. He has driven applied projects at startups and industry—Keen Eye and Tribun Health—focusing on self-supervised learning, unsupervised/semisupervised segmentation, and whole-slide image similarity for histology. Comfortable moving models from research to product, he also ranked in the top 7% of the SIIM-ACR pneumothorax segmentation Kaggle competition, demonstrating strong practical skills in medical image segmentation. Trained across France’s top institutions (Mines Paris, Institut Polytechnique de Paris, Télécom Paris), he blends rigorous mathematical foundations with applied ML engineering in computational pathology. Notably, his work emphasizes adapting cutting-edge self-supervised methods to the unique scales and textures of histological slides, an underappreciated challenge in clinical AI.
8 years of coding experience
2 years of employment as a software developer
Bachelor’s degree Mathematics, Bachelor’s degree Mathematics at Lycée de la Borde Basse
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at Télécom Paris
Master of Science Computer Science and Mathematics, Master of Science Computer Science and Mathematics at Télécom SudParis
Doctor of Philosophy - PhD Intelligence artificielle, Doctor of Philosophy - PhD Intelligence artificielle at Mines Paris - PSL
Master 2 Data Science Mathematics and Statistics, Master 2 Data Science Mathematics and Statistics at Institut Polytechnique de Paris
French, English, Spanish