Aurélien Dugourd

Senior Staff Scientist at European Bioinformatics Institute | EMBL-EBI

Cambridge, England, United Kingdom
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Summary

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Senior
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Top School
Aurélien Dugourd is a Senior Staff Scientist with a decade of experience building mechanistic, interpretable methods to extract insight from multi-omic data, now based at EMBL-EBI in Cambridge. He specializes in integrating prior biological knowledge of signaling and metabolism to study complex diseases like cancer and the emergence of treatment resistance, translating academic models into industry-relevant tools through collaborations with pharma. His background spans hybrid mechanistic models combining gene regulatory networks, signaling pathways and metabolomics, informed by a PhD and postdoc at Heidelberg and RWTH Aachen. Known for making black-box omics analyses actionable, he combines rigorous mathematical modeling with practical deployment to support drug development. An underappreciated strength is his knack for turning nuanced mechanistic hypotheses into reproducible computational workflows that bridge research and applied translational needs.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Bioinformatics, Master's degree, Bioinformatics at Université de Nantes
bookMaster’s Degree, Biotechnology, Master’s Degree, Biotechnology at Université de Bretagne Occidentale
languagesFrench, English
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Github Skills (35)

r-package10
transcriptomics10
integer-linear-programming10
r9
estimate9
rna-seq9
shiny-apps8
proteins8
data-integration8
spatial-transcriptomics8
bioinformatics8
functional-analysis7
webservice6
genomics5
inference5

Programming languages (7)

C#RC++CHTMLJupyter NotebookPython

Github contributions (5)

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saezlab/kinase_tf_mini_tuto

Jun 2021 - Mar 2023

This is a short tutorial to show in parallel how to estimate TF and kinase activities from transcriptomic and phosphoproteomic data
Contributions:1 review, 5 PRs, 9 pushes in 1 year 9 months
parallelshortbioinformaticsactivitiesestimate
saezlab/Factor_COSMOS

Feb 2022 - Jul 2026

Formatting NCI60 data into cosmos ready inputs and generation of testable hypothesis connecting cell-line specific TF and metabolic deregulations.
Contributions:2 releases, 15 PRs, 110 pushes in 4 years 5 months
bioinformaticscosmosformattingtestable
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