Clément Chadebec

Clément Chadebec is a Research Scientist at Jasper and Stability AI, focusing on the development of faster diffusion models. Prior experience includes a Ph.D. candidacy at Inria, where Clément worked on Deep Generative Models and also served as a Machine Learning Research Intern investigating Riemannian properties of these models under the supervision of Stéphanie Allassonnière. Clément's teaching experience spans multiple institutions, including Université Paris Cité and the Ministère de l'Éducation nationale, where mathematics and physics courses were taught at the bachelor's level. Additional roles include a Research Internship at Elum Energy, emphasizing energy dispatch strategies and software development, and participation in a research project at MINES ParisTech on industrial area rehabilitation. Clément's educational background includes a Ph.D. in Mathematics and Computer Science from Université Paris Cité, a Master of Science in Machine Learning & Applied Mathematics from ENS Paris-Saclay, and a Master’s degree in Applied Mathematics from Mines Paris - PSL.