Summary
Baptiste Bauvin is a research scientist with eight years of experience specializing in scalable, robust and interpretable AI, currently developing explainable and compressed DNNs for computer vision at Thales Cortaix Labs. He holds a PhD focused on multi-view machine learning and ensemble methods applied to multi-omic data, where he produced a multi-view dataset generator, benchmarking tools, and a sparse decision-function algorithm tailored to precision medicine. Comfortable across Python, C++ and production-oriented tooling, he brings a rare combination of PAC-Bayesian theory, boosting expertise and practical model compression for trustworthy AI. Based in Brossard, Quebec, he blends deep academic rigor with hands-on engineering, having contributed to robotics, signal processing and full-stack web projects earlier in his career.
8 years of coding experience
Generalist Engineer, Computer Science & Information Technologies, Generalist Engineer, Computer Science & Information Technologies at Ecole Centrale de Marseille
Master's degree, Comuter Science for Research, Master's degree, Comuter Science for Research at Aix-Marseille University
French, English, German, Italian, Arabic, portugese