Manuel Faysse is an NLP-focused research scientist and PhD candidate based in Paris with seven years of experience bridging academic research and industry R&D. He has progressed from teaching and data science roles at EPFL and Illuin Technology to visiting researcher at Imperial College and now a Research Scientist role at Meta FAIR, bringing both production-minded experimentation and rigorous scholarly methods. His work spans applied NLP, machine learning education, and research engineering, blending hands-on data science with contributions to research teams. Notably, he balances deep academic training across top European institutions with practical product-oriented research at startups and large tech, making him comfortable translating novel models into deployable solutions.
7 years of coding experience
6 years of employment as a software developer
Master's thesis, Master's thesis at Imperial College London
Master's degree, Master's degree at Ecole polytechnique fédérale de Lausanne
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Université Paris-Saclay
1 Year exchange in ETSII, 1 Year exchange in ETSII at Universidad Politécnica de Madrid
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