A meteorologist who seeks a deeper understanding of the impacts of cyclonic activities on climate variability and its potential to trigger environmental disasters and hazards such as floods, landslides, windstorms, storm surges, etc. With years of experience in various European research projects and teaching tasks across diverse areas of meteorology, activities such as atmospheric modelling, and processing, treatment, quality control and analysis of meteorological and climatological data were always in his daily routine. His excellent computational skills allow him to produce and explore miscellaneous climate data types, from small to large scales, in small or large dimensions, and using different computational languages. This, together with his comprehensive background in meteorology and expertise in data exploration and visualisation, fosters the development of specific models and methods for identifying and analysing extreme events and severe weather.

His current research focuses on developing and improving climate downscaling products for seasonal forecasts by leveraging machine learning techniques.