PhD student
Antoine Quiriny
PhD student at UCLouvain
Antoine Quiriny obtained an M.Sc. in Mechanical Engineering from the UCLouvain University. He is currently a Ph.D. candidate in the X-Mesh team, where he is working on the X-Mesh approach applied to two-phase flows and the limits of using the finite element method on degenerated meshes
Illy Perl
PhD student at UCLouvain
Illy Perl holds an M.Sc. in Applied Physics from the Hebrew University of Jerusalem. He is currently a Ph.D. candidate in the X-Mesh team, where he is working on applying the X-Mesh method to the problem of wetting and drying in shallow water equations.
Vincent Degrooff
PhD student at UCLouvain
Vincent Degrooff holds an M.Sc. in Mathematical Engineering from UCLouvain. Throughout his academic journey, Vincent has developed a strong interest in fluid mechanics, discontinuous Galerkin methods and hyperbolic PDEs. Since joining the project in september 2023, he applies the X-Mesh approach to track shocks occurring in compressible flows. His research in this area has focused in particular on Riemann problems (interactive widget), ALE and space-time DG methods.
Gatien Dony
PhD student at UCLouvain
Gatien graduated with a M. Sc. in Mathematical Engineering from UCLouvain. He joined the X-mesh project in September 2024 as a PhD candidate. His work focuses on using the X-mesh approach on phase-field models for the mechanics of damage and failure
Nathan Tihon
PhD student at UCLouvain
Nathan Tihon holds a M.Sc. in Mathematical Engineering from UCLouvain. He thrives at the intersection of applied mathematics and computer science. This passion naturally led him into the world of High Performance Computing (HPC). To further improve his knowledge, Nathan did an internship with the team behind MPICH at Argonne National Laboratory. In September 2024 he joined the X-Mesh project as a Ph.D student. He now works on extending the Particle Finite Element Method (PFEM) in such a way that it remains robust on greatly imperfect geometries. Nathan’s goal is to develop a completely GPU-accelerated PFEM pipeline.