Rémi PERRIER

Rémi PERRIER

PERRIER Rémi

Post-doc au sein du projet ANR MOSIS, sous la direction de Cyril Jayet et co-encadrement de Floriana Gargiulo et Maxime Lenormand (INRAE).

  • Analyse de la relation entre mobilité géographique et mobilité sociale, et son évolution temporelle.
  • Développement d’un modèle multi-agents couplant la mobilité géographique et sociale pour reproduire les données observées.

Publications

  • 2025 – “Synchronization between media followers and political supporters during an election process: towards a real time study”
    R. Perrier, L. Hernández, J. I. Alvarez-Hamelin, M. G. Beiró and D. Kotzinos
    arXiv:2503.05552 [cs.SI]
  • 2024 – “Phase coexistence in the fully heterogeneous Hegselmann–Krause opinion dynamics model”
    R. Perrier, H. Schawe and L. Hernández
    Sci Rep 14, 241
  • 2021 – “The consequences of hesitation: Axelrod model with intrinsic noise”
    R. Perrier, Y. Gandica and L. Hernández
    PLoS ONE 16(11): e0259295
  • 2019 – “Uplift of an elastic membrane by a viscous flow”
    M. Berhanu, A. Guérin, S. Courrech du Pont, F. Raoult, R. Perrier, and C. Michaut
    Phys. Rev. E 99, 043102

Communications

  • June 2024 – International Conference for Social Network Analysis [Sunbelt 2024], Edinburgh, Scotland
    • Poster: “Real time study of the political opinion using massive data”
    • Talk: “Correlating open-mindedness and network structure on a bounded confidence opinion dynamics model”
  • June 2024 – International Conference on Network Science [NetSci 2024], Québec City, Canada
    • Poster: “Real time study of the political opinion using massive data”
  • June 2024 – Bridging theoretical and empirical approaches to the study of social dynamics [BridgeSD2024 Workshop], Paris, France
    • Talk: “Correlating open-mindedness and network structure on a bounded confidence opinion dynamics model”
  • Jan. 2024 – International Conference on Network Science [NetSciX 2024], Venice, Italy
    • Talk: “Correlating open-mindedness and network structure on a bounded confidence opinion dynamics model”
  • July 2023 – International Conference on Computational Social Science [IC2S2 2023], Copenhagen, Denmark
    • Talk: “Real time study of the political opinion using massive data”
  • July 2023 – International Conference on Network Science [NetSci2023], Vienna, Austria
    • Talk: “On the side-effects of compromising: coupling agents’ heterogeneity with network effects in a bounded confidence opinion dynamics model”
  • Oct. 2022 – Conference on Complex Systems [CCS22], Palma de Mallorca, Spain
    • Poster: “Real time study of the political opinion using massive data”
  • June 2022 – Conférence Française sur les Systèmes Complexes [FRCCS22], Paris France
    • Talk: “Sur la résilience de l’extrémisme : le modèle de Hegselmann-Krause hétérogène sur réseaux”
  • 0ct. 2021 – Conference on Complex Systems [CCS21], Lyon, France
    • Talk: “The consequences of hesitation: Axelrod model with intrinsic noise”
  • July 2021 – International Conference on Computational Social Science [IC2S2 2021], online
    • Poster: “The consequences of hesitation: Axelrod model with intrinsic noise”

Enseignement

  • 2020-2023 – Programmation : Introduction à Python
    M1 Theoretical Physics & Application, M1 Physique Option Numérique, Département de Physique, CY Cergy Paris Université
    TDs, 20h par an
  • 2020-2023 – Programmation : Introduction aux méthodes de Monte-Carlo
    M1 Theoretical Physics & Application, M1 Physique Option Numérique, Département de Physique, CY Cergy Paris Université
    TDs, 30h par an
  • 2020-2021 – TP de Physique : Optique & lois de Kepler
    L1 Mathematiques, Informatique, Physique, Ingénierie (MIPI), Département de Physiqye, CY Cergy Paris Université
    TPs, 12h

Formation

  • 2024 – Doctorat en physique théorique (systèmes complexes), LPTM – CY Cergy Paris Université
    “Opinion dynamics from both ends: theoretical models and empirical data”
    sous la direction de Laura Hernández
  • 2020 –  M2 Theoretical Physics & Application, Université de Cergy-Pontoise
  • 2019 – M1 Physique Fondamentale, Université Paris Diderot – Paris VII
  • 2017 – L3 Physique, Université Paris Diderot – Paris VII
  • 2014-2016 – Classes Préparatoires aux Grandes Écoles Physique-Chimie, Lycée Théophile Gautier, Tarbes
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