Gautier Cosne is a Paris-based Data Scientist with nine years of experience applying machine learning and deep learning to real-world problems across healthcare, energy, and climate domains. Currently at Biogen Digital Health, he focuses on personalized digital medicine for neuroscience, using data-driven models to improve care for people with multiple sclerosis. His background includes research at Mila under guidance from Yoshua Bengio, practical forecasting and market-risk work in electricity trading, and building generative models and simulators accepted at NeurIPS workshops. Trained in strong mathematical and engineering programs (Télécom Bretagne, QUT, CPGE Joffre), he combines signal-processing intuition with applied ML to move models from research into production. Notably, he blends scientific rigor with product impact—translating complex models into tools that inform clinical and operational decisions.
Master's degree, Embedded & autonomous system, Master's degree, Embedded & autonomous system at Queensland University of Technology
M.S.E in Computer and Information Science, 3.99, M.S.E in Computer and Information Science, 3.99 at Télécom Bretagne (ex- Enst de Bretagne, école nationale supérieure des télécommunications de Bretagne)
Contributions:14 commits, 6 pushes, 1 branch in 8 months
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