I got both the bachelor's and master's degrees in Mathematics in Pisa, where I have devoted my attention mainly to stochastic analysis, stochastic processes, statistics and numerical analysis. I am also versatile in the use of programming languages, such as C, Matlab, R and Python. Collaborating with my research group, my aim for the future consists in applying math to describe and analyze climatic phenomena of relevant public interest.

The first theme of my research consists of understanding how the statistical properties of a relevant feature of a climatesystem change when it approaches a tipping point. The second theme consists in developing simplified models to study how the interaction among agents affects climate change mitigation activities, as emission reduction systems.Methodologies used: stochastic analysis, numerical methods for (S)PDE and mean-field games.