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Andrea earned a PhD in Statistics from Purdue University in 2004. He held postdoctoral positions in Italy and Germany before becoming an Assistant Professor at Ca’ Foscari University in Venice in 2006. In 2012, Andrea joined the School of Mathematics at Monash University. His research lies at the intersection of Probability, Analysis, and Mathematical Physics, with particular expertise in Reinforced Processes and Large Deviations. His work focuses on theoretical foundations and applications of probability, including research areas such as statistical mechanics and machine learning models. Over the years, Andrea has been involved in various projects aiming at enhancing understanding of self-interacting random walks, finite Markov chains, and their statistical mechanics, among other key topics. He actively collaborates with researchers worldwide, contributing to advancing the field of mathematics through innovative approaches.
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