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.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Université d'Avignon et des Pays de Vaucluse
Master's degree, Bioinformatics and biostatitics, 16/20, Master's degree, Bioinformatics and biostatitics, 16/20 at Université Paris Sud (Paris XI)
Doctor of Philosophy - PhD, Computer Science/ Bioinformatics, Doctor of Philosophy - PhD, Computer Science/ Bioinformatics at Université Paris-Saclay
Contributions:1 release, 1 PR, 39 pushes in 1 year 5 months
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