Mean Field Games on networks with sticky transition conditions
Première rencontre nationale du RT Optimisation, Lyon
Jules BERRY
Postdoctoral researcher in applied mathematics
About Me
I am a postdoctoral researcher at L2S, Université Paris-Saclay – CentraleSupélec. I work with Riccardo Bonalli and Laurent Pfeiffer on a project about risk-averse stochastic optimal control. Previously, I was a PhD student at IRMAR, Université de Rennes – INSA Rennes, under the supervision of Olivier Ley and Francisco Silva. I defended my thesis, entitled Contributions to the study of second order mean field games – approximation of stable solutions and sticky processes on networks, on October 23, 2025 at INSA Rennes.
Interests
- Mean Field Games
- Hamilton-Jacobi equations
- Numerical analysis
- Stochastic optimal control
- Stochastic processes on networks
Education
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Ph.D. in Mathematics and their Interactions
University of Rennes
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Master's degree in Fundamental Mathematics
University of Rennes
(Pre-)Publications
(2025).
Some error estimates for semidiscrete finite element approximations of stable solutions to mean field game systems.
Preprint.
(2025).
Contributions to the study of second order mean field games.
PhD Thesis.
(2025).
Sticky diffusions on star graphs : characterization and Itô formula.
Stochastic Processes and their Applications.
(2025).
A nonsmooth extension of the Brezzi-Rappaz-Raviart approximation theorem via metric regularity techniques and applications to nonlinear PDEs.
Preprint.
(2025).
Stationary Mean Field Games on networks with sticky transition conditions.
ESAIM: Control, Optimisation and Calculus of Variations.
Talks
Approximation of stable solutions to second order mean field game systems
Durham Symposium on Mean Field Games
Sticky diffusion processes on networks and corresponding Mean Field Games
Séminaire MOD, Limoges
Sticky diffusion processes on networks and corresponding Mean Field Games
Journées de l’ANR COSS, Rennes
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