Chloé-agathe Azencott
Professor at Mines Paris
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolChloé-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.
11 years of coding experience
18 years of employment as a software developer
M.S. (Telecom Bretagne), Computer Science, Telecommunications, M.S. (Telecom Bretagne), Computer Science, Telecommunications at IMT AtlantiqueLouis-le-GrandTechnical University of DenmarkPhD, Computer Science, Artificial Intelligence and Machine Learning, PhD, Computer Science, Artificial Intelligence and Machine Learning at University of California, Irvine
English, French, German
Github Skills (18)
data-analysis10
python10
data-science10
statistics10
machine-learning10
des10
scikit9
scikit-learn9
jupyter-notebook8
science8
notebook8
large-scale5
deep-learning4
scale4
microbiome2
Programming languages (4)
Github contributions (5)
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
chagaz/ml-notebooks
Mar 2017 - May 2021
Some machine learning notebooks
Contributions:43 commits, 3 PRs, 32 pushes in 4 years 2 months
pythondata-sciencejupyter-notebooknotebookmachine-learning
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