Curriculum Vitæ
Professional experience
Research fellow
Inria SaclayPalaiseau, France
Since October 2022
Meshing, anisotropic mesh adaptation and high-order numerical methods
- Anisotropic unstructured mesh adaptation
- Numerical schemes for Computational Fluid Dynamics (CFD)
- Reynolds-Averaged Navier–Stokes (RANS) and Large Eddy Simulation (LES)
- High Performance Computing
Research engineer
ONERA - The French Aerospace LabChâtillon, France
June 2020 - September 2022
CEDRE developer
- CEDRE is a multi-physics platform working on general unstructured meshes intended to both advance research and process industrial applications in the fields of energetics and propulsion
- High-order and high-fidelity numerical methods
- High Performance Computing optimization
Postdoctoral fellow
Inria Saclay - Île-de-FrancePalaiseau, France
May 2017 - May 2020
Time-accurate anisotropic mesh adaptation for fluid-structure interaction (FSI) simulations
- Implementation and validation of the Finite Element method for the unsteady linear elasticity equations
- Coupling with a code solving the Euler equations based on the Finite Volume method
- Development of error estimates for fluid-structure interaction applied to unsteady anisotropic mesh adaptation
- Project RAPID funded by Direction Générale de l'Armement (DGA)
Education
Ph.D. in Computational Fluid Dynamics
AIRBUS & Université de ToulouseToulouse, France
May 2014 - April 2017
High-order numerical methods for unsteady flows around complex geometries
- Collaboration between AIRBUS and CERFACS
- Several numerical methods and codes are investigated for industrial applications
- The coupling with a nonconforming grid interface of high-order schemes for structured and unstructured zones in elsA
- The Spectral Difference Method in JAGUAR
- The Lattice Boltzmann Methods in ProLB
Argonne Training Program on Extreme-Scale Computing (ATPESC)
Argonne National Laboratory (ANL)Lemont, IL, USA
July 2016 - August 2016
Intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future
- Computer architectures and predicted evolution
- Numerical algorithms and mathematical software
- Approaches to building community codes for HPC systems
- Data analysis, visualization, I/O, and methodologies and tools for big data applications
- Performance measurement and debugging tools