CV

Education

PhD in Applied Mathematics / Scientific Machine Learning, CNAM (Conservatoire National des Arts et Métiers), Paris, 2021–2024
- Machine learning strategies for accelerating numerical simulations of fluid-structure interaction
- Supervised by Pr. I. Mortazavi, Pr. F. De Vuyst, T. Dairay, J-P. Berro Ramirez
- HAL Id: tel-05269807
Summer School – Scientific Machine Learning, CEMRACS 2023, CIRM, Marseille, July 2023
Mechanical Engineering Degree, ENSAM (École Nationale Supérieure d’Arts et Métiers), Paris, 2017–2021
- Silver Medal – Rank: 83/1180

Computational R&D Engineer — Michelin, Clermont-Ferrand (Dec 2024 – Present)
- Part of a team developing and modernizing a large-scale industrial finite element framework.
PhD Student — Research Engineer — M2N, CNAM / Michelin / Altair, Paris (Nov 2021 – Oct 2024)
- Machine Learning-based Reduced Order Models (ROMs) for fluid-structure interaction (FSI)
Visiting PhD Student — Esteco (previously Optimad), Turin (Feb 2024 – Mar 2024)
- Explored stability properties of data-driven reduced order models
Substitute Teacher — CNAM, Paris (Sep 2022 – Jan 2024)
- Taught practical work on Numerical Methods, Fluid Mechanics and Functional Analysis
Simulation Research Engineer (Master’s Thesis) — Dassault Systèmes, Vélizy-Villacoublay (Mar 2021 – Aug 2021)
- Data-Driven Computational Mechanics (DDCM)
Simulation Software QA Intern — Coventor Inc. (Lam Research), Villebon-sur-Yvette (Jun 2020 – Aug 2020)
- Wrote tests for meshing features of MEMS+, involving numerical analysis and electromechanical modeling

PhD Thesis — Video Abstract: An illustrative summary of the main contributions of my PhD thesis on ML-accelerated fluid-structure interaction simulations. Watch the video