🇫🇷 🇬🇧

Nicolas Lafon

Since 2025, I am a Junior Researcher at INRAE, working within the BioSP unit in the MATHNUM department.

Research interests

  • Theory of statistical learning for multivariate extremes
  • Modeling weather and climate extremes
  • Generative models
  • Dependence modeling of extremes in high-dimensional context

Contact

Email: nicolas.lafon@inrae.fr

Postal address:
INRAE-BioSP – Domaine St. Paul
228, route de l'Aérodrome
84914 Avignon – France

ORCID: 0000-0002-3643-6717 

  • A VAE approach to sample multivariate extremes
    N. Lafon, P. Naveau, R. Fablet
    arXiv preprint, arXiv:2306.10987, 2023
  • Uncertainty quantification when learning dynamical models and solvers with variational methods
    N. Lafon, R. Fablet, P. Naveau
    Journal of Advances in Modeling Earth Systems, 15(11), e2022MS003446, 2023
  • Statistical learning for geosciences: methods for extreme generation and data assimilation
    N. Lafon
    PhD thesis, Université Paris-Saclay
YearInstitutionCourseRole
2021–2022Université Paris-Saclay — IUT SceauxProbability and StatisticsTutorials (two groups)
2022–2023Université Paris-Saclay — IUT SceauxProbability and StatisticsCourse + tutorials
2023–2024American University of ParisApplied StatisticsCourse
2024–2025McGill UniversityLinear Algebra and ProbabilityCourse

Short CV

  • Junior Researcher — Aug 2025–present
    INRAE — BioSP, MATHNUM department
  • Postdoctoral Research Fellow — Sep 2024–present
    McGill University
    Development of methods for assessing the occurrence of floods in river systems.
  • PhD — Feb 2021 – Feb 2024
    Université Paris-Saclay
    Statistical learning for geosciences: methods for extreme generation and data assimilation.
  • Engineering Diploma — 2016–2020
    Centrale Lyon
    French engineering school with broad training in engineering sciences.