Summary
Ronan Fablet is a tenured professor and AI Research Chair OceaniX at IMT Atlantique, combining deep expertise in data science, computational imaging, and space oceanography. With a career bridging academia and research labs since IFREMER, he focuses on deep learning for dynamical systems to analyze, reconstruct, and simulate ocean dynamics from satellite remote sensing. He leads interdisciplinary work at Lab-STICC, translating mathematical signal-processing foundations into practical tools for marine ecology and ocean monitoring. Based in Brest, France, he leverages an engineer background from SUPAERO and a PhD in computer vision to ground theoretical advances in real-world environmental applications. Beyond publications, his role driving an institutional AI chair signals a commitment to deployment and collaboration across ocean science and AI communities.
8 years of coding experience
6 years of employment as a software developer
Phd, Computer Vision, Phd, Computer Vision at Université de Rennes I
Engineer degree, Applied Mathematics and Signal Processing, Engineer degree, Applied Mathematics and Signal Processing at SUPAERO