Antonello Squintu joined CMCC in 2023. His expertise ranges from statistical climatology to applications of Artificial Intelligence to observations and weather/climate models. His career has focused on the analysis of occurrence and intensity of extreme events, studying their trends in observations and enhancing their prediction and simulation with AI methods.

His studies started with a BSc in General Physics at the University of Pisa (2012) and a MSc in Earth System Physics at the University of Bologna (2015). His PhD was conducted at the KNMI (Royal Netherlands Meteorological Institute) in cooperation with Wageningen University. The thesis was centered on the development of a statistical method for the homogenization of daily temperature series in Europe. This process brought to thorough trend analyses on temperature indices and allowed the validation of climate simulation included in the HighResMIP project.

More recently he worked on the post-processing of short-term weather forecasts with Machine Learning (ML) methods in the frame of the Dutch early warning system, giving high priority to the generation of more skillful prediction of strong wind-gusts events.

Currently, he is working in the CLINT project, which aims at improving detection, causation and attribution of extreme events (heat waves, droughts, tropical cyclones, etc.) with ML algorithms. In particular, he is involved in the analysis of the relationship between extreme events and spatio-temporal patterns which are indicated as relevant by ML algorithms. This is performed with the purpose of a more insightful understanding of the drivers related to these impactful events.