My current research primarily focuses on uncertainty quantification and analysis, both from a theoretical, as well as from an applied perspective. I focus on uncertainty quantification and prediction in settings where data are lacking, when I employ Structured Expert Judgment methods.

Moreover, I am interested in quantifying uncertainty and inference in data-driven settings, for which I focus on multivariate dependence models such as the Bayesian Networks and the vines. All three methodologies are also folded by my interest in dependence modelling.

Part of my work has been dedicated also to applied projects within Scientometrics.

You can find the list of my publications on Google Scholar.