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DANIELE DURANTE

Immagine Profilo
Assistant Professor
Department of Decision Sciences
 

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Courses a.y. 2021/2022

20596 MACHINE LEARNING
20603 OPTIMIZATION
30590 ADVANCED PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT AND FINANCE
41003 STATISTICAL MACHINE LEARNING

Courses previous a.y.


Biographical note

Daniele Durante is an Assistant Professor of Statistics at the Department of Decision Sciences of the Bocconi University, and a Research Affiliate at 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.

For more information visit https://danieledurante.github.io/web/.


Academic CV


Research areas

Network Science  Bayesian Methods and Computation in High Dimension  Categorical Data  Complex Data  Latent Variables Models  Computational Social Science  Demography 


Publications



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