Summary
Romain Thoreau is an Assistant Professor in computer science at AgroParisTech and a machine learning researcher with nine years of experience applying ML to environmental sciences. His work centers on multimodal representation learning, with practical applications in monitoring industrial pollution and advancing wildfire simulation models. Trained across engineering, robotics, and mathematics, he blends physical modeling and data-driven methods—evident from his PhD and postdoc projects on hyperspectral mapping and hybrid/active learning approaches. He has taught and supervised across several French institutions, bringing classroom mentorship into collaborative research with CNES, SPE Corsica, and MLIA Sorbonne. Comfortable moving between field-relevant problems and core algorithm development, he also brings hands-on software skills from a FullStack bootcamp background. An outdoors enthusiast who once taught windsurfing, he leverages real-world perspectives to inform robust environmental ML solutions.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Université d'Angers
FullStack Developer, Web Development, FullStack Developer, Web Development at Le Wagon
Classes préparatoires aux Grandes Ecoles, PTSI / PT*, Classes préparatoires aux Grandes Ecoles, PTSI / PT* at Lycée Chaptal
Engineering degree, Energetic, industrial and mechanical engineering, Engineering degree, Energetic, industrial and mechanical engineering at Arts et Métiers ParisTech - École Nationale Supérieure d'Arts et Métiers
Master 2 (M2), Intelligent systems for robotics, Master 2 (M2), Intelligent systems for robotics at Université Pierre et Marie Curie
PhD Candidate, PhD Candidate at ISAE-SUPAERO