Quentin L.

Quentin L. has extensive experience in both machine learning and risk management across various industries. Currently serving as a Machine Learning Research Scientist and PhD candidate at Thales Digital Identity and Security, Quentin L. focuses on researching the impacts of backdoor attacks and defenses on deep neural networks. Previous roles include Research Scientist in Cryptanalysis, where studies involved side-channel attacks on embedded hardware, and Risk Manager at Societe Generale Corporate and Investment Banking, overseeing operational risk practices. With prior experience as a Risk Management Consultant for notable financial institutions and a background in finance and data science, Quentin L. holds a Master's degree in Finance from EDHEC Business School and a Master of Science in Data Science & Artificial Intelligence from Université Côte d'Azur.