Assistant Professor
Curriculum Vitae
During my studies, I developed a strong interest in atmospheric physics, focusing on the interactions between meteorological parameters and environmental and health processes. My education in Physics at the University of L'Aquila provided me with a solid foundation in the modeling and analysis of natural phenomena.
One of my main research areas is the analysis of correlations between extreme atmospheric events and their impact on human health. A significant example is my study on the seasonal variations of glycemic levels in patients with type 1 diabetes, where we identified an inverse correlation between rising temperatures and glycemic control, particularly during events such as heatwaves. This work highlights the importance of integrating meteorological parameters into the clinical management of patients, especially in the context of climate change.
In the atmospheric field, I have conducted research on particulate matter (PM10 and PM2.5) concentrations using machine learning techniques to classify emissions and identify their sources, whether anthropogenic or natural, depending on meteorological conditions. These studies have made fundamental contributions to understanding atmospheric pollution dynamics in urban and suburban areas, with significant implications for environmental and health planning.
Additionally, I have conducted research on the effectiveness of prevention measures against the spread of SARS-CoV-2 in indoor environments, such as public transportation, by analyzing particles present in the air and on surfaces. These studies have demonstrated the effectiveness of measures adopted to reduce virus transmission through aerosols and surface contact.
Currently, I am the local Principal Investigator of the MRbrainS project, funded by the European Union under the H2020 ATTRACT-EU program, focused on developing disruptive technologies for monitoring and analysis, with innovative applications in the health field. I am also the co-founder of SerVE srl, a spin-off of the University "G. d'Annunzio," which develops platforms for data management and predictive models, with a particular focus on health and environmental impacts.