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Massimiliano Tamborrino is a Reader in the Department of Statistics at the University of Warwick. His research interests primarily center around the study of stochastic processes, particularly focusing on diffusions and point processes. He explores numerical and probabilistic statistical perspectives, applying these methods to problems in neuroscience, physiology, cognitive psychology, and biology. Notably, he is involved in developing simulations and approximate Bayesian computation methods. Tamborrino has also engaged in organizing significant seminars and conferences related to mathematical modeling and inference in biological systems. His innovative approach integrates AI tools with decision-making models, particularly driven by Decision Field Theory. He has held various academic positions at the University of Warwick, contributing extensively to the advancement of statistical methods and their applications. Currently, he is actively teaching courses on mathematical statistics and graduate topics in computational statistics and machine learning.
Department of Statistics, University of Warwick • Coventry, United Kingdom
Department of Statistics, University of Warwick • Coventry, United Kingdom
Department of Statistics, University of Warwick • Coventry, United Kingdom
Institute Stochastics, JKU Linz • Linz, Austria
Department of Mathematical Sciences, University of Copenhagen • Copenhagen, Denmark
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.