Summary
Thibaut Boissin is a Research Engineer with a decade of experience building robust, explainable deep learning systems at IRT Saint Exupéry, specializing in Lipschitz-constrained neural architectures and optimization stability. He blends theoretical rigor with practical impact—publishing at ICML, NeurIPS, CVPR and ICLR while contributing open-source tools like Xplique, Deel-Lip and Orthogonium used by researchers worldwide. His background spans applied data science roles (VAE-based anomaly detection, price prediction, deduplication) and web development, giving him a pragmatic edge in turning research into deployable solutions. Based in Toulouse, he pairs MS-level AI training from Georgia Tech and ENSEEIHT’s strong math/computing foundation with a knack for making provable guarantees useful in real-world pipelines.
10 years of coding experience
Baccalauréat, série S; mathématiques; gymnastique, Baccalauréat, série S; mathématiques; gymnastique at Lycée Bartholdi Colmar
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Georgia Institute of Technology
Mathématiques et informatique, Mathématiques et informatique at ENSEEIHT - Ecole Nationale Supérieure d'Electrotechnique, d'Electronique, d'Informatique, d'Hydraulique et des Télécommunications
Institut national polytechnique de Grenoble
French, English, Spanish