Exploration of the application of machine learning techniques for improving the verification and calibration of finite-element models when compared to operational measurements. Development of machine learning approaches for anomaly detection applied to machine monitoring (as part of the Tokamak Systems Monitor software suite).

Machine learning | Python | FEA | Ansys | Mechanical engineering | Nuclear fusion

PhD. thesis: Hidden order in disordered materials ( PDF)

Study of the emergence of local order in disordered materials (supercooled liquids, glasses) using information theory and various machine learning methods such as clustering and dimensionality reduction. Two hundred hours of teaching in programming and physics.

Computational physics | Machine learning | HPC | Python | C++ | Fortran | Teaching

Study of the phonon replica in the electronic structure of a FeSe monolayer on top of a SrTiO$_3$ substrate using Density Functional Theory and ab initio simulations. Courses on parallel computing (MPI, OpenMP, CUDA).
– Financed by the RQMP international internship grant program.

Computational physics | Parallel computing | Python

Raman scattering and reflectometry of graphene samples on oxidised silicon with a thickness gradient. Development of a LabVIEW app for the automation of experimental measures.

Experimental physics | Python | LabVIEW

Creation of heterostructures by mechanical exfoliation, transfer and stacking of 2D crystals. Raman spectroscopy and white-light reflectometry. Redaction of a user manual for an optical miscroscope for Master students.

Experimental physics | Python

Numerical models and simulations of opinion dynamics on small-world networks.

Computational physics | Python | Network theory