Mathieu Rigal


Welcome to my personal page!

Since December 2022 I am a post-doctoral researcher in applied mathematics, member of the team EDP et Physique mathématique at Institut de Mathématiques de Bordeaux. This interdisciplinary project is cosupervised by David Lannes and Philippe Bonneton. It was supported by an IMPT funding until November 2023, and is now funded by the ANR Bourgeons grant.

Between October 2019 and November 2022, I was a Ph.D. candidate at Sorbonne University in the Jacques-Louis Lions laboratory. This work was supervised by Nina Aguillon and Nathalie Ayi, and was funded by the DIM MathInnov. You can find the manuscript of the thesis on the HAL portal.

My research focuses on the design (based on PDE analysis), study and implementation of efficient numerical schemes for simulating complex geophysical flows with free surface and varying bathymetry. In particular I am interested in the following topics, all related to a depth-averaged model:

You can contact me at mathieu.rigal[AT]math.u-bordeaux.fr

Education

2019-2022
Ph.D. degree in applied mathematics, Sorbonne University

2016-2019
Engineering degree in applied mathematics and scientific computing (equivalent to a Master degree), Sup Galilée

2018-2019
Exchange semester at the Technical University of Munich

Publications

Published

Submitted

Proceeding

Thesis manuscript

Talks and presentations

Conferences and workshops

Seminars Poster

A few slides:

Teaching (fr)

Code

The program swimpy-1d provides solvers for the one dimensionnal shallow water system in a Python framework. It features explicit and implicit kinetic solvers alongside hydrostatic reconstruction for preserving the lakes at rest and the positivity.