Théo Lepage is a Ph.D. student in AI based in Paris with 11 years of software engineering experience, specializing in self-supervised learning for speaker recognition and applied deep learning. He has authored 7+ papers in top venues (Interspeech, Odyssey, IEEE TASLP), built and maintains sslsv—a toolkit for training/evaluating self-supervised speaker verification models—and supervised research that led to recent publications. His background spans research and production: from accelerating real-time digital holography with a 20x speedup (C++/CUDA) to designing attention-augmented CNNs for MRI enhancement at Siemens Healthineers. He teaches introductory deep learning and Python for data science, combining strong engineering practice with academic rigor and mentoring experience. Notably, he bridges open-source tooling and peer-reviewed research, making research-ready implementations that are reproducible and production-oriented.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at Sorbonne Université
Master of Engineering (M.Eng.), Computer Science, Master of Engineering (M.Eng.), Computer Science at École pour l'informatique et les Techniques Avancées
Contributions:1 PR, 7 pushes, 2 branches in 4 years 11 months
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Théo Lepage - Ph.D. Student at EPITA Research Laboratory