Summary
François Caron is a Professor of Statistics at the University of Oxford with over a decade of research and teaching experience in statistical machine learning, computational and Bayesian statistics, and data analysis. His career spans international research roles—from INRIA and a Marie Curie fellowship to a postdoc in Canada—and leadership positions at Oxford and Keble College, reflecting a sustained focus on bridging theory and applied inference. He has contributed to national-level research at The Alan Turing Institute and holds advanced engineering and habilitation credentials in applied mathematics, indicating a strong blend of mathematical rigor and computational practice. Known for tackling challenging inference problems, he combines formal Bayesian methodology with pragmatic computational solutions that inform both academic research and real-world data applications.
12 years of coding experience
15 years of employment as a software developer
PhD, Engineering, PhD, Engineering at Ecole centrale de Lille
PhD, Engineering, PhD, Engineering at University of Lille 1 Sciences and Technology
Master, Engineering, Master, Engineering at Institut supérieur d'électronique et du numérique
Habilitation à Diriger des Recherches, Applied Mathematics, Habilitation à Diriger des Recherches, Applied Mathematics at Université de Bordeaux