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

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
Events
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”. |
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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. |