Summary
Benjamin Maudet is a CIFRE PhD student and AI engineer based in Île-de-France with nine years of hands-on experience bridging academic research and applied cybersecurity. With an MSc in Artificial Intelligence and current doctoral work at Inria/Sorbonne, he focuses on explainable malware classification and the intersection of encoding practices with shortcut learning and fairness. At HarfangLab he progressed from AI research intern to AI engineer and now PhD student, turning deep technical research into production-relevant security tools. His work has produced peer-reviewed outputs (ESANN 2025) and a Baylearn 2023 poster, reflecting a track record of publishing and presenting research. Outside work he channels analytical creativity into indie videogame projects and a strong interest in metal and electronic music, hinting at a playful, multidisciplinary approach to problem solving. Fluent in both research and engineering contexts, he excels at making opaque models interpretable for security practitioners.
9 years of coding experience
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Sorbonne Université
Bachelor's degree, Computer Science, 16.27/20, Bachelor's degree, Computer Science, 16.27/20 at Univ Paris Diderot
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Université Paris-Saclay
Engineering Science, Engineering Science at Lycée Charles de Gaulle
French, English, German