Summary
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/.
11 years of coding experience
4 years of employment as a software developer
Master's degree, Master's degree at Ecole centrale de Lille
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Université Lille I
French, English, German, Japanese