Summary
Maël Houbre is a data scientist and NLP researcher with eight years of experience bridging applied defense projects and academic research, currently transitioning from a PhD on keyphrase generation at University of Nantes to a data scientist role at the French defense AI agency. He has deep expertise in scientific document understanding, speech-focused NLP, machine learning and signal processing gained through roles at DGA, research internships in Tokyo, and reserve service as an NLP expert for the French Navy. Maël combines rigorous research (absent keyphrase generation) with operational experience deploying NLP solutions in high-stakes environments, and is comfortable across Python-driven prototyping, representation learning and speech pipelines. Unusually, his profile pairs advanced academic work with frontline maritime signal operations, giving him practical systems-thinking and crisis-aware engineering judgment.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at TELECOM Nancy
Prépa PCSI-PSI, ENGINEERING, Prépa PCSI-PSI, ENGINEERING at Lycée Naval
Baccalauréat scientifique, Baccalauréat scientifique at Lycée Jean-François Millet
Reserve uncomissionned officer in the French Navy, Team management, Reserve uncomissionned officer in the French Navy, Team management at CIN Brest
Doctor of Philosophy - PhD, Natural Language Processing, Doctor of Philosophy - PhD, Natural Language Processing at Nantes Université
CPES, Science, CPES, Science at Prytanée National Militaire de la Flèche
anglais (toeic score: 920), Spanish, Japanese, French