Aurélien Bibaut

Aurélien Bibaut is a statistics and machine learning researcher with extensive experience in both academia and industry. Previously, they served as a Senior Research Scientist at Netflix, where they developed methods for sequential A/B testing and contributed to conference research on off-policy value estimation. Aurélien's earlier roles include internships at Lyft, Stanford University, and Vehicle Data Science, focusing on fraud prediction and statistical modeling. They earned a PhD from the University of California, Berkeley, following a BSc/MSc in Applied Mathematics from Ecole Polytechnique.