Summary
Leonard Dubois is a microbiome data scientist and computational biologist with a PhD and eight years of experience applying statistical and engineering skills to metagenomics across academic and translational settings. Currently a postdoc in Pr. Harry Sokol’s team at Sorbonne Université, he specializes in 16S/ITS2 and shotgun metagenomics analysis, sequencing preprocessing, and building reproducible bioinformatics pipelines using Python, R, Linux and HPC. His background spans strain-level resolution methods, differential abundance statistics, and machine learning for systems microbiology developed during positions at Università di Trento, EMBL and MetaGenoPolis. Comfortable moving between research and production code, he has a track record of shipping tools and maintaining bioinformatics software alongside rigorous analytic work. Based in Paris, he brings both deep domain knowledge in host-associated microbiomes and practical pipeline engineering that accelerates laboratory-to-insight workflows. An under-the-radar strength is his consistent focus on integrating biological knowledge into modeling and validation to improve robustness of computational results.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biomolecular Sciences - Computational Biology, Doctor of Philosophy - PhD, Biomolecular Sciences - Computational Biology at Università di Trento
Master's degree, Bioinformatics, 2nd year, Master's degree, Bioinformatics, 2nd year at Université Paris-Saclay
Summer School, Data Visualization, Summer School, Data Visualization at Pierre and Marie Curie University
DUT in Biology and Bioinformatics, Bioinformatics, DUT in Biology and Bioinformatics, Bioinformatics at UNIVERSITE D'AUVERGNE
Master's degree, Bioinformatics, 1st year, Master's degree, Bioinformatics, 1st year at Université Paris Diderot
English, German, French, Italian, Japanese