Summary
Florent Martin is a Machine Learning Scientist in Munich with a PhD in Mathematics and ten years of experience bridging academic research and industry-grade AI solutions. He has led end-to-end data science projects at BCG GAMMA and Zeiss, translating mathematical rigor into production-ready forecasting, pricing and optimization systems while engaging senior stakeholders. His background includes postdoctoral research and teaching at top European institutions (ETH Zürich, University of Regensburg), reflecting deep theoretical expertise in addition to practical ML engineering. Notably, he has contributed to open-source explainability tooling (Gamma Facet) and organized multiple international seminars and conferences, showing a knack for both communicating complex ideas and pushing reproducible research into applied settings.
10 years of coding experience
4 years of employment as a software developer
Classe préparatoire aux grandes écoles, Mathematics and Physics, Admis à Polytechnique, ENS Cachan et Lyon., Classe préparatoire aux grandes écoles, Mathematics and Physics, Admis à Polytechnique, ENS Cachan et Lyon. at Lycée Saint-Louis
Master's degree, Mathématiques, Master's degree, Mathématiques at Université Pierre et Marie Curie
Agrégation de mathématiques, option informatique, rang national: 3ème, Agrégation de mathématiques, option informatique, rang national: 3ème at École Normale Supérieure de Cachan
French, English, German