I am a PhD student of Pierre Neuvial and Cathy Maugis-Rabusseau at the CNRS (the French National Centre for Scientific Research) in the lab Toulouse Institute of Mathematics. I work on developing statistical methods with applications in genomics (scRNAseq) and beyond.

• Member of the team Statistics and Optimisation
• Member of the Mathematics, Biology and Health group
• PhD students representative to the EDMITT doctoral school.

Research interests

• Post hoc/ post selection inference
• Post-clustering inference
• Clustering methods
• Performance evaluation of statistical methods
• Single-cell RNAsequencing analyses

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 2024-03-18

• [since 2021] Ph. D in Applied Mathematics, Université Paul Sabatier (Toulouse III)
  • “Post-clustering inference for single-cell RNAseq data”
  • supervised by Pierre Neuvial and Cathy Maugis-Rabusseau
• [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)