Mahendra Mariadassou

Junior Researcher at INRAE

Jouy-en-Josas, Ile-de-France
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Summary

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Senior
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Top School
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.
code11 years of coding experience
bookDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Université Paris Sud (Paris XI) / University Paris XI
bookMaster's degree, Mathematics and Statistics, Master's degree, Mathematics and Statistics at Ecole normale supérieure
bookDoctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at 東京大学 / The University of Tokyo
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Github Skills (18)

r-package10
pca10
learnr10
sequencing10
phyloseq10
data-analysis9
cli8
par8
statistics7
classifier5
algorithm4
bioconductor4
classifiers3
r2
hdf2

Programming languages (5)

DockerfileRJavaScriptHTMLJupyter Notebook

Github contributions (5)

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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
phyloseq
Contributions:167 pushes, 1 branch, 1 comment in 7 years 1 month
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