Mahendra Mariadassou is a junior researcher at INRAE’s MaIAGE lab with 11 years of experience working at the intersection of computational statistics and biology, specializing in microbial ecosystems analyzed through meta-omics. Trained as a statistician with a PhD focused on phylogenetic robustness, he develops statistical tools to extract biological insight from molecular sequence data and teaches introductory mathematics and statistics. His work blends phylogenomics, metagenomics and robust statistical methodology, reflecting a rare combination of deep theory and applied pipeline development. Previously he directed an interdisciplinary bachelor program, demonstrating a talent for translating complex quantitative concepts to diverse audiences. Based in Jouy-en-Josas, he brings both rigorous academic training from institutions including ENS and Paris-Sud and practical research experience in environmental and microbial genomics.
11 years of coding experience
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Université Paris Sud (Paris XI) / University Paris XI
Master's degree, Mathematics and Statistics, Master's degree, Mathematics and Statistics at Ecole normale supérieure
Doctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at 東京大学 / The University of Tokyo
Various customs functions written to enhance the base functions of phyloseq. Most of them are used in the formation "Métagénomique 16S" provided by the platforms Migale and Genotoul
Contributions:2 releases, 1 review, 178 commits in 6 years 8 months
Contributions:164 pushes, 1 branch, 1 comment in 5 years 10 months
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