Dr Bertrand Gauthier
Kernel-based Models, Machine Learning, Design of Experiments, Computational Mathematics, Big Data.
Ph.D student and teaching assistant at École des Mines de Saint-Étienne (France) from October 2007 to January 2011.
ATER (temporary research and teaching assistant) at University of Saint-Étienne (France), Mathematics Department, Institut Camille Jordan, from February 2011 to August 2012.
Postdoctoral researcher at CNRS - University of Nice-Sophia Antipolis (France), Laboratoire I3S, from September 2012 to August 2014; and CNRS contract agent on secondment to EDF-Lab Chatou (France), from September to December 2014.
Postdoctoral researcher at KU Leuven (Belgium), ESAT-STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, from March 2015 to December 2016.
My research mainly focuses on kernel-based learning methods, and on kernel-related numerical methods in general. I am particularly interested in the theoretical and computational challenges inherent to the application of kernel-based strategies to large scale problems. My topics of interest also include design of experiments, random-field models and machine learning.