Emanuele Aliverti
Assistant Professor of Statistics [rtd-B] @ University of Padova
research
The focus of my research is on developing and applying novel statistical methods, motivated by challenging problems in health and social sciences.
I am interested in flexible Bayesian methodologies and scalable algorithms to perform inference on models for complex data, such as high-dimensional structures, networks and tensors, balancing accuracy with interpretability.
My curriculum vitae is available here. An Italian version (extended) is available here.
bio & past positions
I hold a Ph.D. in Statistics from the University of Padova (2020), supervised by Bruno Scarpa and David Dunson. During the Ph.D, I was a Visiting Scholar in the Department of Statistical Sciences at Duke University (2017-18).
After the Ph.D., I have been a post-doc at the University of Padova (2020) and an Assistant Professor in Statistics at the University Ca’ Foscari Venezia (2020-2022).
news
| 23/04 | The article “Aliverti, Arellano-Valle, Kharari and Scarpa (2023). A flexible two-piece normal dynamic linear model” has been accepted for publication on Computational Statistics |
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