I am currently Research Engeneer (Ingénieur de recheche) as biostatistician at Unité MIAT (Mathématiques et Informatique appliquées de Toulouse), INRAe. Member of the Génotoul-Bioinfo plateform.

Contact

Email: nicolas[dot]enjalbert-courrech[at]inrae[dot]fr
mail: INRAE, UR875 MIA-T
BP 52627
F-31326 Castanet Tolosan cedex
France
INRAE gitlab: https://forge.inrae.fr/nicolas.enjalbert-courrech
github: https://github.com/nicolas-enjalbert/

Research interests

  • Post selection inference (post hoc, post-clustering)
  • Clustering methods
  • Performance evaluation of statistical methods
  • Single-cell RNAsequencing analyses
  • Data augmentation for healthcare data and transcriptomic data
  • Metagenomics statistical analyses (Differential analyses)
  • Multi-omics integration

Projects

  • CNRS 80 PRIME project DDisc : Double dipping in single-cell RNAseq analyses
  • ANR project SansSouci : Post hoc inference via multiple testing

Collective implications

  • Member of the “Journée Statistique du Sud 2024” organising committee.
  • Participation in scientific popularization actions “Déclics” and “Bus’math”

Bio

CV (pdf in french) as of 2025-11-01

  • [2025/11 - ] Ingénieur de Recherche, INRAe
  • [2024/09 - 2025/08] Attaché Temporaire d’Enseignement et de Recherche, Univeristé de Toulouse
  • [2021 - 2024] Ph. D student in Applied Mathematics, Université Paul Sabatier (Toulouse III) at Institut de Mathématiques de Toulouse (IMT)
    • “Post-selection inference for transcriptomic data analysis” [manuscript]
    • supervised by Pierre Neuvial and Cathy Maugis-Rabusseau
    • funded by CNRS (the French National Centre for Scientific Research) through the CNRS 80 PRIME project DDisc

    • My work focused on two main themes: (i) the application of post hoc inference methods for differential expression analysis of transcriptomic data (microarrays and bulk RNA-seq), and (ii) the analysis of post-clustering inference methods, motivated by the identification of marker genes in single-cell RNA-seq data.

  • [2020/09 - 2021/09] Apprenticeship at Toulouse Mathematics Institut - Université Paul Sabatier (Toulouse III)
    • Post hoc inference for differential expression analysis.
    • Supervised by Pierre Neuvial and Pierre Neuvial
    • Development of IIDEA, and the sanssouci packages.
  • [2021] Msc in Statistics and Business Intelligence cum laude, Université Paul Sabatier (Toulouse III)
  • [2019] Bsc Ord. in maths and Statistics cum laude, Université Paul Sabatier (Toulouse III)