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Équipe de recherche :Research Team:
Signal, Statistique et Apprentissage (S2A)Signal, Statistics and Learning (S2A)
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Robert M. Gower is a Lecturer in Machine Learning since 2017. He is interested in designing, analyzing and implementing new optimization and numerical algorithms for applications from machine learning. A mathematician by training, his academic studies started with a Bachelors and a Masters degree in applied mathematics at the state University of Campinas (Brazil), where he designed the current state-of-the-art algorithms for automatically calculating high order derivatives using back-propagation. His PhD in stochastic numerics at the University of Edinburgh earned him the 2nd place of the 2017 Leslie Fox prize in numerical analysis.
After which in 2016 he was granted the Fondation Sciences Mathématiques de Paris postdoctral Laureate fund to continue his work as a postdoc in ENS