Maxime Borry

Guest Researcher at INSERM

Mainz, Rhineland-Palatinate, Germany
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Summary

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Maxime Borry is a bioinformatics and life data scientist with over a decade of experience building reproducible omics workflows and statistical software, currently a Guest Researcher at the Max Planck Institute for Evolutionary Anthropology. He combines deep expertise in Nextflow/Snakemake pipeline architecture and Python-based analysis with applied work across metagenomics, ancient DNA and oncology, including scalable pipelines for personalized cancer vaccine development. An active open-source contributor, Maxime has developed and tested modules for the widely used nf-core/modules ecosystem and added new functionality to MultiQC (notably a MALT parser and Kraken2 improvements), improving community tooling for reproducible analyses. His background spans PhD-level method development, mentoring, and cross-disciplinary stints at institutions such as Harvard, Leibniz, and Seqera Labs, reflecting both academic rigor and practical deployment experience. Less obvious is his track record of combining Bayesian time-series models for aDNA damage with hands-on backend module engineering—bridging statistical innovation and production-ready bioinformatics. Based in Mainz, Germany, he focuses on delivering robust, testable pipelines that make complex sequencing analyses accessible and repeatable.
code11 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at Friedrich Schiller University Jena
bookMaster's degree, Biology, Ecology, Environment, Master's degree, Biology, Ecology, Environment at Université Grenoble Alpes
bookJournalism, Journalism at Streetpress
bookMSc. Biology-Computer Science/Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology, MSc. Biology-Computer Science/Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology at Université Paris Cité
bookBiology, Biology at Nord University
languagesFrench, English, German
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Github Skills (18)

go-modules10
python10
dsl10
kernel-module10
nextflow10
pipeline10
mu10
bioinformatics10
jsmodules10
reporting-services10
data-analysis10
data-visualizations9
data-visualisation9
data-visualization9
analyse8

Programming languages (22)

MDXJavaCSSC++CRustTeXNextflow

Github contributions (5)

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nf-core/modules

Mar 2021 - Mar 2022

Repository to host tool-specific module files for the Nextflow DSL2 community!
Role in this project:
userBackend Developer
Contributions:22 reviews, 13 commits, 24 PRs in 1 year
Contributions summary:Maxime primarily contributed to the development of modules for the nf-core/modules repository, which hosts module files for the Nextflow DSL2 community. Their work involved adding new modules, specifically for tools like AdapterRemoval, PyDamage, Freebayes, Das Tool and cmseq/polymut, and ensuring their proper functioning. They also focused on adapting the modules for various use cases and fixing any related indexing issues. The user demonstrated skills in developing and testing modules for bioinformatics pipelines.
nextflownf-coreworkflowspipelinesdsl2
MultiQC/MultiQC

May 2020 - Mar 2021

Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:
userBack-end Developer
Contributions:1 review, 17 commits, 3 PRs in 9 months
Contributions summary:Maxime primarily contributed to the implementation of a new MALT module, adding functionality for parsing and analyzing MALT reports within the MultiQC framework. This involved writing Python code to parse log files, extract relevant data, and generate visualizations like bar plots and a summary table. Further contributions included writing the parsed data to a file and incorporating a new feature (minimizer count) into the Kraken2 module, enhancing the analysis capabilities of the reporting tool.
bioinformaticsanalysispypibiocondamultiqc
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