Elise Grosjean

Elise Grosjean

Assistant Professor

UMA at ENSTA-PARIS

I am an Assistant Professor in applied mathematics at ENSTA Paris.

My research interests include fluid mechanics, P.D.E analysis, numerical schemes, reduced order methods, and inverse problems.

Interests
  • Finite elements/volume methods
  • Programming Languages
  • Simulations of highly parameterized models from Physics/Biology
  • Inverse problems
  • Optimal transport
  • Reduced Order methods
Education
  • PhD in Applied Mathematics, 11/2018-03/2022

    Jacques-Louis Lions laboratory (LJLL)

  • Master in mathematics of modeling, 2015 - 2018

    Pierre et Marie Curie university (UPMC)

  • Engineer school in Applied Mathematics and Computer Science, 2015 - 2018

    Polytech-Paris UPMC

  • Bachelor in Fundamental Mathematics, 2012 - 2015

    Pierre et Marie Curie university

Recent and upcoming publications

(2024). Cell seeding dynamics in a porous scaffold material designed for meniscus tissue regeneration.

PDF

(2024). An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis.

PDF

(2023). A mathematical model for meniscus cartilage regeneration (PAMM).

PDF

Projects

 
 
 
 
 
3D Discontinuous Galerkin - Meniscus regeneration macroscopic model simulation
October 2023 – Present Felix-Klein-Institut für Mathematik

Simulation with FreeFem++

  • Paper : “https://onlinelibrary.wiley.com/doi/10.1002/pamm.202300261?af=R"
  • Implement PDEs in FreeFem++ representing a nonwoven scaffold in a novel 3D printed perfusion chamber which is integrated in a bioreactor that allows in-vitro investigations of scaffolds in interaction with chondrocytes and adipose tissue-derived stem cells
  • Stimulus via a pump system (fluid-solid interaction)
  • Sensitivity analysis of the parameters with model order reduction techniques (compared to real data)
 
 
 
 
 
Back and Forth Nudging - Wave equation
Simulation with FreeFem++
January 2024 – Present INRIA-Saclay
Initial conditions reconstruction with BFN on a bounded domain [0,1] with Dirichlet bnd conditions, FEM P1 and Newmark scheme for time. Video in 1D with an observation of the measurements between [0,0.2] and [0.8,1].
 
 
 
 
 
Finite Elements Method implementation
October 2018 – October 1018 Sorbonne Universite

Simulation with C++

  • Implement the Finite Elements method in C++ to solve 2D Navier-Stokes equation in a channel Video in 2D
 
 
 
 
 
Non intrusive reduced basis module.
October 2018 – October 2021 LJLL

Module Python

  • Contribute to an online library with EDF and other partners on non intrusive reduced basis method in Python and C++.
  • Implement PDEs in FreeFem++ representing a nonwoven scaffold in a novel 3D printed perfusion chamber which is integrated in a bioreactor that allows in-vitro investigations of scaffolds in interaction with chondrocytes and adipose tissue-derived stem cells
  • Stimulus via a pump system (fluid-solid interaction)
  • Sensitivity analysis of the parameters with model order reduction techniques (compared to real data)

Experience

 
 
 
 
 
Assistant professor at ENSTA Paris (IDEFIX)
June 2024 – Present
 
 
 
 
 
POSTDOC INRIA-SACLAY
October 2023 – May 2024
Postdoc at INRIA-Saclay on assimilation data problem on wave parameter/initial condition reconstruction with back and forth nudging algorithm
 
 
 
 
 
POSTDOC at RPTU
March 2022 – October 2023

Postdoc at RPTU in Kaiserslautern

  • 3D meniscus tissue regeneration problem implemented with FreeFem++
  • Study of the parameters through sensitivity analysis
  • Model order reduction
 
 
 
 
 
PhD at Sorbonne Universite
October 2018 – March 2022
PhD on non-intrusive reduced basis methods and application to offshore wind farms.

Contact