Chloé-agathe Azencott

Professor at Paris Women in Machine Learning and Data Science

Paris, Ile-de-France
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Summary

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Senior
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Chloé-Agathe Azencott is a Professor and computational biologist specializing in feature selection and multi-locus analysis for high-dimensional biomedical data, with a PhD in computer science from UC Irvine. Her work bridges chemoinformatics, genomics, and clinical data integration to identify biomarkers and genetic determinants of disease, with direct applications in precision medicine. She has held research and teaching roles at MINES ParisTech and the Max Planck Institutes, combining algorithmic development with large-graph learning and multi-modal EHR analysis. A co-founder of Paris Women in Machine Learning and Data Science, she is active in mentoring and community building in ML. Notably, her career threads chemoinformatics drug-discovery methods into genomic-scale predictive models, enabling insight from datasets with far more variables than samples.
code11 years of coding experience
job18 years of employment as a software developer
bookM.S. (Telecom Bretagne), Computer Science, Telecommunications, M.S. (Telecom Bretagne), Computer Science, Telecommunications at IMT Atlantique
bookLouis-le-Grand
bookTechnical University of Denmark
bookPhD, Computer Science, Artificial Intelligence and Machine Learning, PhD, Computer Science, Artificial Intelligence and Machine Learning at University of California, Irvine
languagesEnglish, French, German
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Github Skills (15)

statistics10
machine-learning10
des10
python10
data-science10
data-analysis10
scikit-learn9
science8
reproducible-research3
journal3
reproducible-science2
open-source1
open-science1
microbiome1
mozilla1

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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chagaz/cp-ia-intro-ml-2022

Jan 2022 - Nov 2024

Notebooks pour le module "Fondamentaux du Machine Learning" de la formation Chef de Projet IA (2022)
Contributions:1 PR, 21 pushes in 2 years 10 months
machine-learning
chagaz/sdd_2020

Feb 2020 - Jul 2020

Cours « science des données » à Mines ParisTech (2019-2020)
Contributions:136 commits, 8 PRs, 63 pushes in 4 months
coursminessciencedes
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