I am associate professor ("maître de conférences") at Ceremade, the mathematics department of Université ParisDauphine. I am a member of the research group "Probability and Statistics".
Contact
 Email: last_name @ ceremade.dauphine.fr
 Office number: C 614
 Address: Université ParisDauphine, Place du Maréchal de Lattre de Tassigny, 75 775 Paris Cedex 16, France.
Teaching
Year 20232024:
Control of Markov chains:
All the documents are available on the Teams page of the course. 
Discrete processes:
All the documents are available on the Teams page of the course. 
Probability 2:
All the documents are available on the Teams page of the course.
Research
My research work deals with several discrete probability models originating from statistical mechanics, such as activated random walks, sandpile models, spin models or percolation.
I completed my PhD at ENS Paris, under the supervision of Raphaël Cerf, about selforganized criticality. Then, I was a temporary teaching and research assistant ("attaché temporaire d'enseignement et de recherche") at AixMarseille Université, where I worked on activated random walks, with Alexandre Gaudillière and Amine Asselah. After this, I was a postdoc student in the university "La Sapienza" in Rome, where I studied models of interacting random loops, spin models and sanpile models, with Lorenzo Taggi, Matteo Quattropani, Alexandra Quitmann and Concetta Campailla. My CV is available here.
SelfOrganized Criticality
The concept of selforganized criticality aims at describing some physical systems which present a “critical” behaviour without having to tune a parameter like temperature to a critical value.
During my PhD thesis with Raphaël Cerf, we defined several toy models presenting this phenomenon, building upon percolation and the Ising model. More precisely, our construction relies on the introduction of a feedback mechanism which forces the system towards a critical regime.
Link to my PhD dissertation (in French):

Some toy models of selforganized criticality in percolation
ALEA, Lat. Am. J. Probab. Math. Stat. 19 (2022), 367–416 
A planar Ising model of selforganized criticality Probab. Theory Related Fields 180 (2021), 163198 
An extension of the IsingCurieWeiss model of selforganized criticality with a threshold on the interaction range Electron. J. Probab. 29 (2024), article no. 15, 1–27. 
Activated Random Walks
Consider, on each site of a graph, for example the infinite lattice $\smash{\mathbb{Z}^d}$, a certain number of frogs (or particles) which can be either active or sleeping. We start with a random configuration of active frogs, with for example i.i.d. numbers of active frogs on each site, with mean $\smash{\mu}$ (the precise law does not matter much). Each active frog performs a continuoustime random walk on $\smash{\mathbb{Z}^d}$, with jump rate 1. Besides, when an active frog is alone on a site, it falls asleep with a certain rate $\smash{\lambda}$. Sleeping frogs stop moving, until another frog arrives on the same site, which turns it back into the active state.
It turns out that there exists a critical density $\smash{\mu_c(\lambda)}$, which depends on the sleep rate $\smash{\lambda}$, below which each frog almost surely eventually falls asleep forever, and above which each frog almost surely walks an infinite number or steps.
This model has drawn some attention these last years, especially for its connection with selforganized criticality. For example, starting with many active frogs on a single site, one expects that the frogs eventually stabilize in a ball with a critical density of sleeping frogs inside.
In my works with Alexandre Gaudillière and Amine Asselah, we studied the phase transition of this model and proved the existence of a nontrivial active phase in dimension 2.
Active Phase for Activated Random Walks on the Lattice in all Dimensions
to appear in Annales de l'Institut Henri Poincaré 
The Critical Density for Activated Random Walks is always less than 1
Preprint (2022) 
Interacting random loops
With Lorenzo Taggi, Matteo Quattropani and Alexandra Quitmann, I am studying models of interacting random loops which are connected with several models of interest in statistical mechanics, such as the spin$\smash{O(n)}$ model, the Bose gas or the double dimer model.
We are interested in various questions relating to this family of models, in particular the existence of macroscopic loops, i.e. of a length proportional to the size of the graph when the latter tends towards infinity.
Coexistence, enhancements and short loops in random walk loop soups
Preprint (2023) 