Julien Chiquet

Senior Research in Statistical Learning, Université Paris-Saclay/AgroParisTech/INRAE

julien_2025.jpg

UMR MIA Paris-Saclay

Campus Agro Paris-Saclay

22 place de l'agronomie

91120 Palaiseau

+33(0)1.89.10.09.37

julien.chiquet[at]inrae[dot]fr

Habilitation (12/2015)

Academic CV (05/2025)

research interests

  • statistics and machine learning :desktop_computer:
    • sparse methods and regularization
    • multivariate analysis
    • latent variable models
    • optimization and algorithms
  • applications to life sciences :seedling: :bee:
    • ecology, environment
    • metagenomics, metabolomics, genomics
  • reproducible research :gear:

news

Sep 10, 2024 Happy to share a quarto template for HCERES report, based on a home-made LaTeX sheet and Pandoc, which allows you to smoothly include markdown, code, equations, plots on the fly and manage bibliographic elements extracted from HAL with BibLaTeX. Easy to install with the quarto installer. The rendered document is here , rendered by CI with gh-actions, if you want a quick look. This was clearly the most exciting part of writing the report for my laboratory. I hope this helps some colleagues, so please feel free to use and contribute.
Jun 1, 2023 I gave two talks last week on probabilistic dimension reduction, one at the Séminaire nantais inter-établissements en Science des Données and another during the first animation of the working group LEGO on machine-learning for genomics, which are two very nice research intitiaves! Check the github repos of my slides and code.
Nov 13, 2022 I am glad to give two talks this week, one at the Séminaire Parisien de Statistique and another at ML4 Life Science in Montpellier, both based on this material about recent advances in the Poisson lognormal model
May 16, 2022 The laboratory moved to Palaiseau with all of AgroParisTech to a brand new campus: a few shocks and adjustments on arrival, but all united!
Feb 24, 2022 I have presented Computo at the 2nd Toronto Workshop on reproducibility ! 🤩

selected publications

  1. EJS
    Importance sampling-based gradient method for dimension reduction in Poisson log-normal model
    Bastien Batardière, Julien Chiquet, Joon Kwon, and Julien Stoehr
    Electronic Journal of Statistics, 2025
  2. JSS
    Stability Selection and Consensus Clustering in R: The R Package sharp
    Barbara Bodinier, Sabrina Rodrigues, Maryam Karimi, Sarah Filippi, Julien Chiquet, and Marc Chadeau-Hyam
    Journal of Statistical Software, 2025
  3. JOSS
    pyPLNmodels: A Python package to analyze multivariate high-dimensional count data
    Bastien Batardiere, Joon Kwon, and Julien Chiquet
    Journal of Open Source Software, 2024