Titouan Vayer

Chercheur at École normale supérieure de Lyon

Villeneuve-d’Ascq, Hauts-de-France, France
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Summary

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Senior
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Titouan Vayer is a machine learning researcher with over a decade of experience bridging academic research and industry applications, currently affiliated with Inria and ENS de Lyon. His PhD focused on optimal transport for structured data, and his background includes building production big-data pipelines and applied ML models at Crédit Agricole and forecasting solutions at Michelin. Comfortable across Python, R, Spark and Java ecosystems, he has hands-on experience with real-time systems, NoSQL stores and MLlib as well as deep learning and ensemble methods. Based in Villeneuve-d’Ascq, he blends theoretical rigor with practical engineering—often turning complex mathematical tools into scalable analytics—and maintains a public research portfolio at https://tvayer.github.io/.
code11 years of coding experience
job4 years of employment as a software developer
bookMaster's degree, Master's degree at Ecole centrale de Lille
bookBachelor's degree, Mathematics, Bachelor's degree, Mathematics at Université Lille I
languagesFrench, English, German, Japanese
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Github Skills (37)

portable10
gbm10
xgboost10
dataflow10
python10
data-science10
scikit10
statistics10
machine-learning10
distributed-systems10
java10
autoencoder10
gradient10
boosting10
scikit-learn10

Programming languages (4)

JavaC++Jupyter NotebookPython

Github contributions (5)

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tlorieul/pychoco

Oct 2024 - Jan 2025

Contributions:57 pushes in 3 months
ina-foss/ID-Fits

Jan 2015 - Feb 2015

Contributions:11 commits, 9 pushes, 1 branch in 19 days
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Titouan Vayer - Chercheur at École normale supérieure de Lyon