I am a CNRS senior researcher (DR2), affiliated to the Center for Applied Mathematics of the Ecole Polytechnique CMAP (UMR7641) located in the Institut Polytechnique de Paris Campus, Palaiseau.
I am a permanent member of the joint Inria-CNRS-Polytechnique team PLATON.

Before joining CNRS in 2007, I was Professor Assistant in the Mechanical Engineering Department of the University of Evry Val d'Essonne (France). I was affiliated to the LIMSI from 2007 to 2019. I have hold multiple visiting researcher and professor positions, at the Johns Hopkins University of Baltimore and at Sandia National Laboratories.
From 2013 to 2015 I was Visiting Professor at Duke University (North Carolina) and Visiting Faculty at the King Habdullah University of Science and Technology (KAUST, Saudi Arabia).

I started researches during my PhD at the Université du Havre (France) working on the numerical solution of non-linear fluid-structure interaction (FSI) problems, with applications to the modeling of yatch sails and red blood cell deformations. After completing my PhD in 1998, I started a long term collaboration with Pr. Omar Knio (then at the Johns Hopkins University), on FSI problems initially, then, starting in 2000, on Uncertainty Quantification (UQ) problems and Polynomial Chaos expansions.
Since 2003, my researches have mostly focused on the development of spectral methods for UQ, in particular on Galerkin formulations and dedicated algorithms for nonlinear models. For instance, we proposed stochastic multiresolution frameworks to handle highly nonlinear uncertain systems presenting steep dependences or bifurcations. These researches lead in 2010 to the publication with Omar Knio of our reference book Spectral Methods for Uncertainty Quantification.

Motivated by applications in environmental sciences (nuclear waste disposal), fluid engineering, and combustions my researches have progressively evolved to incorporate a broader range of model types, an increasing complexity in the uncertainty model and various objectives related to uncertainty management. For instance, recent works have dealt with the sensitivity analysis in stochastic simulator, the acceleration Bayesian inference, the robust optimization of complex systems,...
I am also involved in the Advanced Numerical Methods and HPC through my activities on the development of resilient algorithms for exascale computing and advanced decomposition methods for UQ.

• Spectral methods for Uncertainty Quantification and Sensitivity Analysis
• Stochastic problems and models
• Scientific and High Performance Computing
• Inference and optimization in complex systems
• Numerical Methods for Partial Differential Equations
• Applications in fluid flows, porous media, reactive systems and geosciences