Alexis Delabriere

Senior Bioinformatician

Saint-Louis, Grand Est, France
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Summary

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Senior
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Top School
Alexis Delabriere is a Senior Bioinformatician with 10 years of experience applying computational and mathematical methods to metabolomics, transcriptomics (bulk and single-cell), genomics and imaging data. Trained as a computational biologist with a PhD in bioinformatics, he blends production-grade software skills (R, Python, Linux, cloud) with advanced data science and deep learning to move projects from algorithm development to deployed analysis. His work ranges from published Bioconductor tools for high-throughput metabolomics to graph‑mining approaches for spectral data, reflecting a strong background in signal processing, Bayesian methods and kernel techniques. Comfortable in fast-moving startup environments, he has led data integration and applied bioinformatics teams while contributing hands-on as an individual contributor. Based in Saint-Louis, France, he is open to new data-science opportunities where rigorous quantitative thinking meets practical pipeline engineering. An uncommon strength is his ability to translate physics‑informed signal models into robust, reusable software packages for the community.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Bioinformatics and biostatitics, Master's degree, Bioinformatics and biostatitics at Paris-Sud University (Paris XI)
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Avignon Université
bookDoctor of Philosophy - PhD, Computer Science/ Bioinformatics, Doctor of Philosophy - PhD, Computer Science/ Bioinformatics at Université Paris-Saclay
languagesFrench, English
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Stackoverflow

Stats
113reputation
8kreached
4answers
5questions
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Github Skills (52)

bioconductor10
peak-detection9
fuzzy-matching9
mass-spectrometry9
fuzzy-search8
r8
ms-data7
bioinformatics7
feature-detection7
scalable7
cli7
optimization7
boost6
graph-theory6
ai6

Programming languages (8)

TypeScriptJavaRC++CHTMLGroovyPython

Github contributions (5)

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zamboni-lab/SLAW

Nov 2019 - Jan 2022

Scalable and self-optimizing processing workflow for untargeted LC-MS
Contributions:30 commits, 1 PR, 24 pushes in 2 years 2 months
lc-msscalableoptimizationuntargetedoptimizing
adelabriere/mineMS2

Nov 2018 - Apr 2020

Contributions:1 release, 1 PR, 39 pushes in 1 year 5 months
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