Published multiple papers on Machine Learning and Image Analysis; received HDR qualification in 2018; involved in several research projects, such as the ANITI chair project ExplEarth.
Research Experience
Member of the Artificial and Natural Intelligence Toulouse Institute since 2019; CNRS Research Engineer at the Toulouse Mathematics Institute since 2012; Research fellow at the Biomedical Image Analysis Laboratory, University of Oxford, UK in 2011; Research assistant at Imperial College London from 2009 to 2010; Researcher/Engineer at Neurospin, CEA Saclay, France from 2007 to 2008; Junior lecturer in Fluid Mechanics at Paul Sabatier University, Toulouse, France from 2003 to 2006.
Education
Received HDR (French accreditation to supervise research) in 2018, with a dissertation titled 'Mathematical Models and Numerical Methods for the Analysis of Medical Images and Complex Data'; PhD in 2007, with a thesis on 'Quantitative Analysis of Micro-vascular Networks from Computed Tomography Images'; Master 2 in Computer Science, majoring in Image analysis in 2003; Master 1 in Mathematical Engineering, specializing in Scientific Computing (PDEs and optimization) in 2002. All degrees were obtained from Paul Sabatier University, Toulouse.
Background
Research interests include Machine Learning and Image Analysis, with a particular focus on Explainability and Robustness in machine learning, as well as the link between neural networks and physics. Has an engineering background, supervises projects at the interface of Applied Mathematics and other scientific areas, possesses expertise in mathematical modeling, algorithmic implementation, and development using Python, C, C++, and CUDA. Teaching covers Machine Learning, Neural-Networks, Image Analysis, Statistical Modelling, and Convex Optimization.
Miscellany
Representative of the Maths-Industry Agency (Facilitateur AMIES) for the Occitanie region; co-responsible for the CIMI team-project 'Learning, Optimization, Complex data'.