Scholar
Pierre Humbert
Google Scholar ID: Xu28VXMAAAAJ
Sorbonne université
Citations & Impact
Citations
180
H-index
7
i10-index
6
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- - May 2025, invited to Alfréd Rényi Institute of Mathematics by László Györfi to work on conformal prediction and nonparametric multivariate regression
Research Experience
- - Since September 2024, Postdoctoral researcher at LPSM, Sorbonne Université, with Etienne Roquain
- - Member of the MARS team, working with Ruth Heller
- - Former postdoc in the probability and statistics team at Laboratoire de Mathématiques d’Orsay (LMO) with Sylvain Arlot
- - Member of the INRIA Celeste team
Education
- - PhD: ENS Paris-Saclay, Department of Mathematics
- - Supervisors: Nicolas Vayatis, Laurent Oudre, Julien Audiffren
Background
- - Research interests: Conformal prediction, Federated learning, Statistical learning, Non-parametric statistics, Cross-validation, Robust statistics, Signal processing, Graph and tensor learning
- - Applications: Medicine and neuroscience
