Pauline CHASSONNERY

Postdoctoral researcher in Applied Mathematics.

I am interested in the mathematical modelling and analysis of physical and biological phenomena, especially with perspectives in medical applications. My main focus is on modelling, that is the translation of empirical observations of physical, biological or sociological phenomena into mathematical equations, in order to reproduce or mimic said observations.

My current research subject is the high performance simulation of Thermo-Hydro-Mechanical models in faulted geological systems. This project is part of the ANR Earth-Beat (grant number ANR-23-CE50-0027) and is a collaboration between the Bureau de Recherches Géologies et Minières in Orléans (team Géomodélisation et Data-Science) and the Laboratoire de Mathématiques J-A. Dieudonné, University Côte d'Azur.



Email : p.chassonnery@brgm.fr

Orcid : 0009-0002-5751-1533

Office :
building C4, room R31
BRGM, Orléans site
3 avenue Claude Guillemin
45060 Orléans

Publications

  1. P. Chassonnery and R. Capuzzo-Dolcetta. Dynamics of a superdense cluster of black holes and the formation of the Galactic supermassive black hole. Monthly Notices of the Royal Astronomical Society, 504(3):3909–3921, Apr 2021. doi:10.1093/mnras/stab1016
  2. P. Chassonnery, J. Paupert, A. Lorsignol, C. Sévérac, M. Ousset, P. Degond, L. Casteilla and D. Peurichard. Fiber crosslinking drives the emergence of order in a 3D dynamical network model. Journal of Royal Society Open Science, 11:231456, Jan 2024. doi:10.1098/rsos.231456
  3. P. Chassonnery, J. Paupert, A. Lorsignol, C. Sévérac, M. Ousset, L. Casteilla and D. Peurichard. Emergence and robustness of 3D complex tissue architectures. (submitted)
  4. P. Chassonnery, D. Peurichard and Sinan Haliyo. 3D visualisation and segmentation tools for systems of spherical and rod-like objects. (in preparation)
  5. N. Bodereau, T. Lohier, A. Moradell-Casellas, D. Devismes, L. Jolivet, C. Aupart, P. Chassonnery, F. Trichard, N. Gilardi, D. Monfort-Climent and A-M. Desaulty. Analysing chemical maps of powders: application of machine learning in the framework of Lithium (Li) traceability. (in preparation)

Talks and posters

with proceedings

without proceedings

internal seminars

Poster ComPASS project Poster thesis

Codes and other resources

Here is a list of softwares and/or user manuals I wrote, with links to the resources.

User Manual for the ARWV Code

This manual is made to facilitate the proper use of a sophisticated, high precision, open source program intended to integrate a few-body problem (N ≤ 500) for the coordinates and velocities of stellar bodies. The program ARWV was originally developed by S. Mikkola and subsequently improved by various people, including myself, to treat a variety of cases.

It is available on arXiv

ECMmorpho-3D

The model ECMmorpho-3D was developed during my PhD thesis to study the self-organization of the extracellular matrix. It is a three-dimensional Individual-Based Model describing a network of identical spherocylindrical fibers dynamically connected by linear elastic springs that can form and break according to Poisson law.

A Fortran code to run simulations of this model is available on GitHub.

ATmorpho-3D

The model ATmorpho-3D was developed during my PhD thesis to study the emergence of the 3D architecture of white adipose tissue. It is a three-dimensional Individual-Based Model describing the insemination and growth of round cells in a network of dynamically interconnected spherocylindrical fibers.

A Fortran code to run simulations of this model is available on GitHub.

Past positions

Research engineer in applied mathematics at Inria Paris, team MAMBA (now team MUSCLEES).

From january 2020 to april 2023.

PhD student at RESTORE (Toulouse) and LJLL (Paris)

From september 2020 to december 2023, I was a PhD student in applied mathematics at the RESTORE Institute and the Laboratoire Jacques-Louis Lions (LJLL) under the supervision of Louis Casteilla and Diane Peurichard. We were interested in modelling the emergence of the 3D architecture of biological tissues, starting with two relatively simple cases : a non-specialised connective tissue reduced to its extracellular matrix component and the white adipose tissue.

The project was supported by Sorbonne University Alliance through the Emergence project MATHREGEN under grant number S29-05Z101, by the Agence Nationale de la Recherche (ANR) through the grant number ANR-22-CE45-0024-01 and by the Programme des Investissements d’Avenir through the grant EUR CARe N°ANR-18-EURE-0003.

Some links

My CV

My PhD thesis