CV

Education

1. 2024 – 2027

   PhD in applied mathematics

   CERMICS, École nationale des ponts et chaussées, with IFP Energies nouvelles.

   Model order reduction for nonlinear parametric variational inequalities, with applications to CO₂ storage simulation. Advisors: Virginie Ehrlacher and Guillaume Enchéry. Expected defence in 2027.

2. 2023 – 2024

   MSc Mathématiques, Vision, Apprentissage (MVA)

   École normale supérieure Paris-Saclay.

3. 2020 – 2024

   Engineering degree

   École nationale des ponts et chaussées, Department of Applied Mathematics and Computer Science.

Research experience

1. Oct 2024 – now

   Doctoral researcher, CERMICS and IFPEN

   Reduced-order models for parametric variational inequalities in porous media with faults, combining POD, neural-network-augmented reduced models and hyper-reduction within a semi-smooth Newton framework.

2. Apr – Jul 2024

   Research intern, CERMICS

   Galerkin neural networks: review of neural-network PDE solvers (PINNs, Deep Ritz, VPINNs, Galerkin neural networks) and comparative study on 2D Poisson problems.

3. Sep 2022 – Feb 2023

   Research intern, CEA

   Coupled thermo-neutronic problem: shooting-method algorithm extending the analysis to molten salt reactors.

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