Academic interests
My research mainly focusses on machine learning both supervised and unsupervised. In particular I am interested in explainability of the models. The main topic of my PhD are boosting algorithms applied to graph-structured data. In particular I am collaborating with Hylleraas Centre on a project studying metal compounds.
Background
I obtained my bachelor’s degree in math at University of Trento. For my master’s degree I moved to Torino where I continued my studies in math, focusing on probability and statistics. During my period of study abroad at University of Waterloo I discovered machine learning and I decided to make it my main field of study. I graduated with a master’s thesis on the COVID-19 outbreak with Professor Andrea Pugliese. After graduation, before landing in Oslo, I joined the SALSA team at University of Bolzano..
Partners
My supervisors are Riccardo De Bin, Johan Pensar and David Balcells.
I am also part of CompSci group where I collaborate with Hannes Kneiding.