Paolo Bonetti was born in Cittiglio (Varese) on November 22nd, 1994. In 2017 he graduates at Politecnico di Milano in Mathematical Engineering. In 2020 he gets the master’s degree in Mathematical Engineering in the Applied Statistics Track. From 2020 to 2021 he works as data engineer in a private consulting company, Target Reply. His job is focused on the design and develop of cloud and on-premises ETL solutions for different international companies.
In November 2021 he starts the PhD program in Information Technology of Politecnico di Milano, participating to the European project CLINT. His research main interest is the application of Machine Learning techniques to spatio-temporal data, aiming to identify variables that are significant for explaining a phenomenon and eventually their causal relationships. His research can be applied to climatological data, in particular for the data-driven identification of extreme climatic events.