Daniele Durante is an Associate Professor of Statistics at the Department of Decision Sciences of the Bocconi University, and a Research Affiliate to the Bocconi Institute for Data Science and Analytics (BIDSA), the DONDENA Centre for Research on Social Dynamics and Public Policy, and the Laboratory for Coronavirus Crisis Research. His research is characterized by an interdisciplinary approach at the intersection of Bayesian methodology, modern applications, and statistical machine learning to develop flexible, interpretable and computationally tractable probabilistic representations for complex, high-dimensional and network-related phenomena, especially in health and social sciences.
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