I am a second-year PhD student involved in the iNEST project. My research focuses on developing Explainable AI methods applicable to this field in order to make digital twins more accurate and reliable.
I got my Bachelor’s degree in Mathematics in 2020 and my Master’s degree in Data Science and Scientific Computing in 2022, both at University of Trieste. During my studies, I had the opportunity to focus my work both on time series analysis and on Explainable AI. While I produced my Master’s thesis on the former, now my main research interest is on the latter.
In my spare time I enjoy many sports with a focus on track and field, which I have been practicing since I was 6 and which gave me many satisfactions throughout the years, particularly middle-distance races and cross country.
Email: irene.ferfoglia@phd.units.it
