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Mathematician specializing in Bayesian computational statistics, particularly in Markov Chain Monte Carlo and Approximate Bayesian Computation. Also focuses on stochastic modeling and its applications in the humanities, especially linguistics. With extensive experience in both academic and research environments, Robin has contributed to advancing the understanding of statistical methods in various fields. Holding an Associate Professorship at Imperial College London, he engages in research that blends mathematical theory with practical applications. His interdisciplinary work often bridges mathematics and the humanities, making significant impacts in both communities, and he is actively involved in teaching and graduate supervision.
Imperial College • London, United Kingdom
Teaching and conducting research in Statistics.
Paris Dauphine University • Paris, France
Engaged in teaching and research in Mathematics.
École Normale Supérieure • Paris, France
Contributed to research in statistical methods.
École Nationale de la Statistique et de l'Administration Économique • Palaiseau, France
Worked on statistical methodologies and their applications.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.