I obtained my Master’s degree in Mathematics from the University of Trento (Italy) in 2013. During my master’s studies, I completed an internship at the Edmund Mach Foundation (FEM), which provided the basis for my thesis and sparked my interest in applying mathematical methods to the analysis of biological data. Subsequently, I was awarded a FEM-funded scholarship that enabled me to pursue and complete a PhD cum laude in Mathematics at the University of Trento in 2017. My doctoral thesis, titled “The importance of climatic and ecological factors for vector-borne infections: Culex pipiens and West Nile virus”, focused on the interplay between environmental variables, mosquito population dynamics and disease transmission.

After completing my PhD, I joined FEM as a researcher. My work primarily focuses on data analysis and mathematical modelling, with research interests including vector (in particular mosquitoes and ticks) and host ecology, epidemiological and population modelling, and climate–health interactions. I specialize in the statistical analysis of ecological data, such as vector abundance, and in the development of mathematical models to investigate the transmission dynamics of associated pathogens, including West Nile virus.
I also supervise MSc and PhD students working on mathematical modelling of infectious diseases and am involved in designing experiments to quantify mosquito life-history traits using the insectaries and climatic chambers available at FEM.