I am maîtresse de conférences (associate professor) at Conservatoire National des Arts et Métiers within the M2N laboratory, in Paris.
My main research interests are computational fluid dynamics, numerical analysis and PDEs.
PhD in Applied Mathematics, 2018
Université de Versailles
MSc in Mathematical Engineering, 2014
Politecnico di Milano
BSc in Mathematical Engineering, 2012
Politecnico di Milano
I was part of the STUOD ERC project.
Advisor: Étienne Mémin.
Uncertainty quantification for the Navier-Stokes equations.
Advisors: Bruno Després, Maria Adela Puscas.
Dissertation: Sensitivity analysis for nonlinear hyperbolic systems of conservation laws.
Advisors: Christophe Chalons, Régis Duvigneau.
SMAI-GAMNI PhD Award 2019 (French ECCOMAS Award) for the best thesis in the field of Computational Methods in Applied Sciences and Engineering in France.
Definition of an efficient numerical strategy to minimise time dependent cost functionals for flow control problems.
Advisor: Régis Duvigneau.
Structure-Preserving Approach for ROMs of Conservation Laws
This project focuses on the development of structure-preserving reduced order models (ROMs) for conservation laws. Conservation laws are PDEs that model advection-dominated physical problems. The solution to these kinds of PDEs can exhibit discontinuities and therefore classical ROMs are likely to fail in this scenario.
The main goal is to advance ROMs for conservation laws by enhancing their accuracy and reliability, while retaining their computational efficiency. The first step, is to transfer structure-preserving properties from high-fidelity methods to ROMs. Then, we will explore new reduced basis construction techniques based on the choice of different norms and on sensitivity studies. Finally, we aim at providing confidence intervals for ROM predictions, improving in this way the reliability of the output.
READ MORENathalie Nouaime. Since october 2021. Co-advised with Bruno Després and Maria Adela Puscas. Grant by CEA. Sensitivity analysis for thermohydrodynamics: Uncertainty analysis and estimation of parameters.
Nicolas Lepage. Since october 2022. Co-advised with Samir Beneddine, Iraj Mortazavi, Denis Sipp, and Nicolas Thome. Grant by ANR AHEAD and ONERA. Simulation and control of bistable flows using artificial intelligence.