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Seth Flaxman is a Professor at the University of Oxford in the Department of Computer Science and a tutorial fellow of Jesus College. His research focuses on scalable methods and flexible models in spatiotemporal statistics, Bayesian machine learning, applied public policy, and social science. His work involves computational statistical disease modeling, with applications extending to public health, orphanhood, deep learning, and analyzing street-level imagery, crime, and voting patterns. He also investigates phenomena like filter bubbles, echo chambers in media, big data paradoxes, and the regulation of machine learning algorithms in emotional contexts.
University of Oxford Department of Statistics • Oxford, UK
Imperial College London Department of Mathematics • London, UK
Imperial College London Department of Mathematics • London, UK
World Health Organization • Geneva, Switzerland
Worked in the Mortality Burden Disease Unit.
École Polytechnique Fédérale de Lausanne • Lausanne, Switzerland
Worked at the Media and Design Laboratory.
Department of Politics and International Relations - Higher Level English requirement.