Aurélien Bellet is a tenured researcher at INRIA.
He obtained his Ph.D. from the University of Saint-Etienne (France) in 2012 and, prior to joining INRIA, he was a postdoctoral researcher at the University of Southern California (USA) and at Télécom ParisTech (France). His main line of research is statistical machine learning, with particular interests in developing large-scale algorithms which allow good trade-offs between computational complexity (or other ""resources"", such as privacy or communication) and statistical performance. His recent work focuses on designing and analyzing decentralized and privacy-preserving machine learning algorithms. His work has been published in top machine learning venues such as ICML, NIPS and AISTATS.