I hold a Bachelor's and Master's degree in Statistics with a focus on economics. My academic journey includes studying at the Polytechnic University of Madrid, where I enhanced my analytical skills. I am passionate about working with environmental data and exploring the real-world implications of my findings. The complexities behind predicting air quality, considering the many variables and the non-stationarity in both space and time, fascinate me.

The aims of my research consist of developing a robust spatiotemporal model for air quality in Italy and across Europe. This includes identifying spatial and temporal patterns, such as pollutant distribution and seasonal trends. The research addresses the challenges of non-stationarity to capture varying concentrations of pollutants. Additionally, it involves analyzing the interactions between environmental and human-related factors, such as meteorological conditions and industrial activities, and how they influence air quality outcomes. Ultimately, the goal is to enhance modeling skills related to spatial dependencies and covariance structures for more precise predictions.