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Nicola Gnecco is an Assistant Professor at Imperial College London in the Statistics section of the Department of Mathematics. His research focuses on developing statistical models that are flexible enough to account for recent advances in machine learning, and he aims to enhance understanding of causality through extreme value theory and robustness in extrapolation. His specific research interests include causal inference in extremes, distribution generalization from a causal perspective, and applications of statistical methods to weather forecasting and climate studies.
University College London, Gatsby Computational Neuroscience Unit • London, United Kingdom
UC Berkeley, Department of Statistics • Berkeley, United States
University of Copenhagen, Department of Mathematical Sciences • Copenhagen, Denmark
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.