Academic interests
My research primarily revolves around both supervised and unsupervised machine learning. Specifically, I am keen on the explainability of these models. The main focus of my PhD research is the application of boosting algorithms to graph-structured data. Currently, I am collaborating with the Hylleraas Centre on a project that studies 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.