Alexandre Chaussard

Affiliations. CNRS, Laboratoire de Probabilités, Statistique et Modélisation, LPSM, Sorbonne Université, F-75005 Paris, France.

prof_pic.jpg

15-25 209

5 place Jussieu, 75005

Paris, France

Welcome to my personal page! I am a PhD candidate in Machine Learning, currently affiliated with Sorbonne Université in Paris, under the supervision of Sylvain Le Corff, Anna Bonnet and Harry Sokol. My work focuses on generative models for microbiome analysis, as thoroughly described on theses.fr.

My current research topics include:

  • Generative models
  • Variational inference
  • Microbiome analysis
  • Deep learning

Publications

  1. Stats. & Comp.
    Tree-based variational inference for Poisson log-normal models
    Alexandre Chaussard, Anna Bonnet, Elisabeth Gassiat, and Sylvain Le Corff
    Statistics and Computing, 2025
    DOI arXiv
  2. BMC Bioinfo.
    TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
    Alexandre Chaussard, Anna Bonnet, Sylvain Le Corff, and Harry Sokol
    BMC Bioinformatics, 2025
    DOI

Events

Aug 27, 2025 30 minutes talk on microbiome modelling using Poisson Log-Normal models and applications to disease diagnosis at “IA & Alimentation” Summer School 2025 at Sorbonne Université, SCAI.
Jun 05, 2025 15 minutes talk at the 56th “Journées de Statistique de la SFdS”, Marseille on TaxaPLN applications for microbiome-trait association.
Mar 20, 2025 Seminar at Mines de Paris, Fontainebleau - 45 minutes talk on “TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata”.
Dec 01, 2024 GT LEGO Machine Learning for genomics - Research Day 2024: 15 minutes talk Presenting early results on “TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata”.
Jul 01, 2024 JDS 2024 - 15 minutes talk on theoretical foundations and practical interest of “Tree-based variational inference for Poisson log-normal models”.
Feb 01, 2024 SMPGD 2024 - 15 minutes talk on microbial applications of “Tree-based variational inference for Poisson log-normal models”.
Nov 01, 2023 SCAI workshop Machine learning and AI to analyze gut microbiota - Practical sessions on microbial applications.