Associate Editor for AISTATS, Statistics and Computing, Bayesian Analysis, Australian and New Zealand Journal of Statistics, Statistics & Probability Letters, Statistical Methods & Applications, and Computational Statistics & Data Analysis (2020-2023). Organized multiple academic conferences and webinars, such as StatLearn in Grenoble and Bayesian Analysis discussion webinars. Published numerous papers and delivered several academic talks.
Research Experience
Currently an Associate Researcher at Inria Grenoble - Rhône-Alpes, part of the Statify team and Laboratoire Jean Kuntzmann at Université Grenoble Alpes. Former postdoc at Bocconi University and Collegio Carlo Alberto, and statistician at Insee.
Education
PhD: 2013, Université Paris-Dauphine (Advisors: Judith Rousseau and Ghislaine Gayraud); HDR (French post-doctoral degree): 2019; Graduated from École Polytechnique and ENSAE.
Background
Research Interests: Bayesian Statistics, Bayesian Machine Learning, and their applications in environmental science and neuroscience. Specialties: Approximations and computation in Bayesian statistics, nonparametrics, extreme value theory, objective Bayes methods, Bayesian neural networks, variational inference.
Miscellany
Personal Interests: Spending time with family, hiking, biking, skiing, and singing. Strives to fly less.