Edouard Duchesnay - Head Of Laboratory

Edouard Duchesnay

Head Of Laboratory

Saclay, Ile-de-France

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Summary

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Senior

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Top School

Edouard Duchesnay is a research director and Head of Laboratory at CEA NeuroSpin with 15+ years focused on machine learning and neuroimaging, leading the GAIA lab and the "Signatures of brain disorders" team to uncover predictive neural biomarkers for psychiatric disease. He combines deep expertise in statistical learning, scientific computing and data governance to supervise large-scale European clinical projects, including GDPR-compliant data pipelines and infrastructures. An early contributor to scikit-learn—where he implemented feature-selection pipelines integrating ANOVA and SVM—he bridges open-source engineering with academic mentoring as an affiliate professor at Université Paris-Saclay. Trained as an engineer and PhD in AI for medical imaging and holder of an habilitation, he uniquely blends hands-on algorithm development, software engineering and regulatory-aware data management to move biomarkers from research to clinically useful tools.

15 years of coding experience

4 years of employment as a software developer

Doctor of Philosophy (Ph.D.), Artificial intelligence appplied to medical image processing, Doctor of Philosophy (Ph.D.), Artificial intelligence appplied to medical image processing at Université de Rennes I

Engineer's Degree, Software engineering (specialization in artificial intelligence), Engineer's Degree, Software engineering (specialization in artificial intelligence) at EPITA: Ecole d'Ingénieurs en Informatique

Habilitation (for full professorship), Machine learning applied to neuroimaging, Habilitation (for full professorship), Machine learning applied to neuroimaging at Université Paris-Saclay

English, French

Github Skills (12)

scikit10

machine-learning10

data-pipeline10

data-pipelines10

python10

data-science10

pipe10

pipeline10

feature-selection10

scikit-learn10

data-analysis9

statistics9

Programming languages (5)

CSCSSTeXJupyter NotebookPython

Github contributions (5)

scikit-learn/scikit-learn

Jul 2010 - May 2012

scikit-learn: machine learning in Python

Role in this project:

Data Scientist

Contributions:45 commits in 1 year 10 months

Contributions summary:Edouard contributed to the implementation of a pipeline for feature selection within the scikit-learn library. Their work focused on integrating ANOVA and SVM-C for feature selection and classification tasks. This included creating and modifying code examples to demonstrate how to use pipelines for feature selection. The user also made cosmetic improvements to existing PLS-related code.

data-analysispythonstatisticsdata-sciencelearn-machine-learning

eniluap/pylearn-doc

Dec 2015 - Apr 2016

Contributions:62 commits in 4 months

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