This article is about a PhD student in the Software and Computer Systems (SCS) department at KTH who is a Marie-Curie fellow, working on the Marie-Curie ITN project RAIS. The student’s research focuses on decentralised machine learning techniques and graph representation learning. The student graduated from Liceo Scientifico G. Galilei, a scientific high school in Verona (Italy), and obtained a bachelor in Computer Science from the University of Trento (Italy). The student is currently working on the intersection of decentralized machine learning techniques and graph representation learning, with the final goal of combining techniques from both fields to achieve high-quality insights from a decentralized network.