Research

Research interests

I am interested in Applied Mathematics, Computational Fluid Dynamics and Uncertainty Quantification. My current research interest is focused on bayesian inference methods for stochastic inverse problems and model calibration, with application to fluid mechanics. Previously, my Ph.D. work consisted in the development of a stochastic spectral method to propagate data uncertainty into hyperbolic models. I have also worked on multiresolution analysis for mesh adaptation.

Publications

PhD Thesis
Adaptive stochastic Galerkin methods for parametric uncertainty propagation in hyperbolic systems. Advisors: A. Ern, CERMICS, Ecole des Ponts ParisTech, O. Le Maître, LIMSI, CNRS.
Scholarship of Ecole des Ponts ParisTech. Defended on November 21st, 2011.

Key words : Uncertainty Quantification, hyperbolic systems, conservation laws, stochastic spectral methods, Galerkin projection, Finite Volumes, Roe solver, entropy correction, adaptive anisotropic discretization, multiresolution analysis

International publications
Proceedings