Lisa Napolitano is a Junior Researcher at CMCC Foundation, SOWAS Division (Soil and Water Systems Division).
She first worked in an engineering consulting firm and later in the public administration, where she gained extensive experience in hydrologic and hydraulic modelling at both catchment and urban scales. These roles allowed her to develop a solid foundation in the application of numerical models for water resource management, flood risk assessment, and the design and analysis of urban drainage systems.

Her current research focuses on hydrologic modelling and the estimation of Intensity-Duration-Frequency (IDF) curves in the context of climate change. She investigates how future climate scenarios may alter precipitation patterns and extreme rainfall events, with the aim of improving the reliability of hydraulic infrastructure design criteria. In addition, her research explores the integration of physically-based and data-driven methods in hydrologic modelling. She applies machine learning techniques to enhance the predictive performance of traditional hydrologic models, particularly for streamflow simulation and rainfall- runoff processes.
Lisa holds a Master’s Degree in Environmental Engineering (curricula Earth Resources Engineering) from Alma Mater Studiorum – University of Bologna, Italy.