Gower

Robert M. Gower joined Telecom Paris as an Assistant Professor in 2017. He is interested in designing and analyzing new stochastic algorithms for solving big data problems in Machine Learning and scientific computing. A mathematician by training, his academic studies started with a Bachelors and a Master’s degree in applied mathematics at the state University of Campinas (Brazil), where he designed the current state-of-art algorithms for automatically calculating high order derivatives using back-propagation. His PhD in stochastic numeric methods at the University of Edinburgh earned him the 2nd place of the 2017 Leslie Fox prize in numerical analysis. In 2016 he was granted the Fondation Sciences Mathématiques de Paris postdoctoral Laureate fund to continue his work as a postdoc in ENS.

Keywords: Stochastic optimization, randomized numerical linear algebra, convex optimization, machine learning, automatic differentiation.

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