Profile overview
Scientific expertise:
Machine Learning and
Image Analysis. I'm currently interested in
Explainability and Robustness in machine learning, as well as the link between
neural-networks and physics.
Engineering: Projects supervision in Mathematical Engineering. Collaborations with industry and academic research. Development using Python, C, C++ and CUDA. Advanced use of PyTorch. Creativity and rigorous mathematical modelling are often the keys to success in my projects 💡.
Initial and ongoing training: Trustable AI, Machine Learning, Neural-Networks, Image Analysis, Statistical Modelling, Convex Optimization.
Career
2019-.:
Member of the
Artificial and Natural Intelligence Toulouse Institute (
ANITI).
2012-.:
CNRS Research Engineer at
Mathematics Institute of Toulouse (
IMT), France.
Statistics and Optimization (
SO) team.
Learning, Optimization and Complex data (
AOC) team-projet. Intermediate level (1ere classe) obtained in 2019 and senior level (hors-classe) obtained in 2023.
2011:
Research fellow at the Biomedical Image Analysis Laboratory (
IBME -- then invited fellow from 2012 to 2014). Institute of Biomedical Engineering, University of Oxford, UK.
2009-2010:
Research assistant at the Biomedical Image Analysis Group and the Institute for Mathematical Sciences (
link)
.
Imperial College, London, UK.
2007-2008:
Researcher/Engineer at the Computer Assisted Neuroimaging Laboratory. Neurospin (
link), CEA Saclay, France.
Studies and qualifications
2018: HDR (French accreditation to supervise research):
Mathematical Models and Numerical Methods for the Analysis of Medical Images and Complex Data
(
manuscript).
Jury:
X. Pennec (INRIA Sophia-Antipolis), J.F. Aujol (Univ. Bordeaux), G. Peyré (ENS Paris), L. Younes (Johns Hopkins University), A. Desolneux (ENS Cachan), F. Gamboa (Univ. Toulouse), J.M. Loubes (Univ. Toulouse).
Follow-up qualification: Professor level CNU 26 (2019).
Institution: Mathematics Insitute of Toulouse (IMT, UMR 5219); Paul Sabatier University, France.
2007:
PhD thesis: Quantitative Analysis of Micro-vascular Networks from Computed Tomography Images (
manuscript).
Jury:
G. Malandain (INRIA Sophia-Antipolis), I. Magnin (INSERM, CREATIS Lyon), F. Estève (ESRF Grenoble), M. Zagzoule (Univ. Toulouse), A.R. Pries (Univ. Berlin), C. Fonta (CNRS CerCo Toulouse), X. Descombes (INRIA Sophia-Antipolis), F. Plouraboué (CNRS IMFT Toulouse, PhD advisor).
Follow-up qualifications: Lecturer level CNU 60 (2007) and CNU 26 (2011).
Institution: Fluid Mechanics Institute of Toulouse (IMFT, UMR 5502); Paul Sabatier University, France.
2003: Master 2 in
Computer Science.
Major in Image analysis.
Paul Sabatier university (IRIT, UMR 5505), Toulouse, France.
2002: Master 1 in
Mathematical Engineering. Major in Scientific Computing (PDEs and optimization).
Paul Sabatier university, Toulouse, France.
Links
Main personnal links:
Google scholar,
DBLP,
LinkedIn,
ORCiD,
github.
Main networks:
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French Agency for the interactions between Mathematics and Industry (UAR CNRS AMIES): link. |
 |
Fidle training sessions on deep learning (ANF CNRS Fidle): link. |
 |
CNRS-Formation-Entreprises: link |
 |
Research network for Information, Signal, Image et ViSion processing/analysis (GdR IASIS): link. |
 |
Academic network for Software Development (DevLog): link. |
