Ludovic Stephan is an assistant professor at ENSAI with 11 years of research-focused experience in probability, statistics and network inference. His trajectory spans a PhD and internships at Inria and IMPA, followed by a postdoc at EPFL working on stochastic block models and robustness of spectral methods for community detection. Trained in mathematics and computer science at École normale supérieure and Paris-Sud, he blends rigorous theoretical foundations with practical algorithmic work in graph signal processing and random graphs. Colleagues describe him as someone who moves comfortably between deep probabilistic theory and implementable spectral techniques, often uncovering subtle failure modes of standard methods. Based in Ivry-sur-Seine, he brings a strong academic publication record and mentorship experience to applied statistics and machine learning problems on networks.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Ecole normale supérieure
Master's degree, MATHEMATICS AND STATISTICS, Master's degree, MATHEMATICS AND STATISTICS at Paris-Sud University (Paris XI)
Classe Prépa MPSI/MP*, Mathematics, Classe Prépa MPSI/MP*, Mathematics at Lycée du Parc
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