Léo Andéol

Léo Andéol is a highly experienced researcher currently serving as a Visiting PhD Student at Carnegie Mellon University, focusing on Conformal Prediction under the supervision of Professor Ramdas. Concurrently, Léo is a Doctorant Chargé d'Enseignement at Université Paul Sabatier Toulouse III, delivering courses in Machine Learning, Big Data, and Experimental Design. Léo also holds a Doctoral Student position at SNCF, specializing in statistical certification for railway signaling detection and various AI tasks. Previously, Léo has undertaken research positions at institutions such as Brown University, Technische Universität Berlin, and Aignostics, developing expertise in machine learning, explainable AI, and domain adaptation. Léo holds multiple advanced degrees, including a PhD in Statistics and Informatics, and has contributed to research publications on topics including explainability in AI.