About

I am a third-year PhD student in applied mathematics at CERMICS, École nationale des ponts et chaussées, in collaboration with IFP Energies nouvelles (IFPEN). I am supervised by Virginie Ehrlacher (CERMICS) and Guillaume Enchéry (IFPEN), and I am a member of the MATHERIALS team at Inria Paris.

My research focuses on model order reduction for nonlinear parametric variational inequalities, motivated by the simulation of CO₂ storage in porous media with faults. I combine projection-based reduction, neural networks and hyper-reduction to build reduced-order models that stay accurate while being much cheaper to evaluate.

Research interests

• Model order reduction for nonlinear parametric problems
• Variational inequalities and semi-smooth Newton methods
• Hyper-reduction
• Scientific machine learning: neural-network-augmented reduced models, neural PDE solvers

Latest preprint

A hyper-reduced neural network-augmented semi-smooth Newton method for nonlinear parametric variational inequalities, with V. Ehrlacher, G. Enchéry and T. Faney, 2026.

On this site

• CV: education and research experience, with the full CV as a PDF.
• Teaching: courses and student projects at École des ponts.
• Publications: preprints and articles.
• Events: talks, posters, schools and conference organisation.