I am a tenured researcher at Inria, where I am part of the Magnet Team (MAchine learninG in information NETworks). I am also affiliated with CRIStAL (UMR CNRS 9189), a research center of the University of Lille.
Prior to joining Inria, I was a postdoctoral researcher at the University of Southern California (working with Fei Sha) and then at Télécom ParisTech (working with Stéphan Clémençon). I obtained my Ph.D. from the University of Saint-Etienne in 2012 under the supervision of Marc Sebban and Amaury Habrard.
My main line of research is in statistical machine learning. I am particularly interested in designing large-scale learning algorithms which allow a good trade-off between computational complexity (or other "resources", such as privacy or communication) and statistical performance.
My current research focus includes:
- distributed / federated / decentralized learning algorithms
- privacy-preserving machine learning
- graph-based methods
- optimization for machine learning
- similarity and distance metric learning
- statistical learning theory
- applications to NLP and speech recognition