M.Sc., MS2SC
University of Paris-Saclay
Coursework: inverse problems, statistical learning, domain decomposition methods, data-driven approaches, model reduction, HPC, composite structures.
About
I am a first-year PhD candidate at the Institut Clément Ader (ICA), specializing in computational mechanics. I hold a double degree from ENS Paris-Saclay and ISAE-SUPAERO, and an M.Sc. from the University of Paris-Saclay (MS2SC, Centrale Supelec).
My work centers on photomechanic, in particular photometric approaches and mechanically regularized, high-performance methods for measuring deformation and displacement in complex scenarios.
I teach mechanics and computational mechanics to second- and fourth-year engineering students at INSA Toulouse, and I'm aiming toward an academic research career.
Publications
A Photometric Approach to Digital Image Correlation with a Super-Resolved Digital Twin (SR-PhDIC)
Optics and Lasers in Engineering · June 2026
Approche photométrique de la corrélation d'images par Super-Résolution
Colloque Mecamat, Aussois, France · January 2026
Second Prize, Best PosterHigh-Performance Mechanically Regularized Finite-Element Digital Volume Correlation for Complex Architectured Materials
PhotoMechanics – iDICs, Clermont-Ferrand, France · October 2024
Digital Volume Correlation Techniques for Patient-Specific Simulation of Vertebrae with Metastasis
ADMOS, Gothenburg, Sweden · June 2023
Education
M.Sc., Applied Mathematics and Structural Mechanics
ISAE-SUPAERO (double degree)
M.Sc., Mechanics of Materials and Structures (MMS)
ENS Paris-Saclay
B.Sc., SAPHIRE
ENS Paris-Saclay
Experience
Research Intern
Institut Clément Ader (ICA), Toulouse
Continued development of photometric image correlation; built a stereo photometric image correlation library in Python.
Supervised by J.-C. Passieux, J.-E. Dufour
Engineering Intern
DGA-TA, Balma
Generated virtual images from a digital twin; continued development of photometric image correlation.
Supervised by R. Fouque
Research Intern
Institut Clément Ader (ICA), Toulouse
Developed a scalable, parallel digital volume correlation method using domain decomposition, implemented in Python.
Developed regularization adaptation techniques for domain-decomposition DVC.
Supervised by J.-C. Passieux, P. Jolivet, R. Bouclier, P. Oumaziz
Research Intern
I2MB, València
Detected bone tumors in vertebrae using digital image correlation.
Developed mesh-generation techniques from a reference mesh using DIC.
Supervised by O. Allix, F. Hild, J.-J. Ródenas, E. Nadal Soriano
Teaching
64 hours DCE in mechanics and computational mechanics, delivered to second- and fourth-year engineering students at INSA Toulouse.