Marco Fiorucci is a postdoctoral researcher in Machine Learning at the Center for Cultural Heritage Technology (CCHT@CaFoscari) of the Istituto Italiano di Tecnologia (IIT) since 2019, working on the development of next-generation Machine Learning approaches applied to the Cultural Heritage. He is working mainly in the fields of Machine Learning and Pattern Recognition, with particular emphasis on geometric deep learning methods and on graph generative models. Marco received his PhD in Computer Science from Ca’ Foscari University of Venice in 2019. His PhD thesis proposes a robust graph summarization method based on Szemerédi’s Regularity Lemma and discusses its relevance in the context of Structural Pattern Recognition. He held visiting research position at University of Alicante and at VTT (Finland). Previously, he graduated summa cum laude in Computer Science at Ca’ Foscari University of Venice in 2015. In addition to research, Marco is one of the co-founder and co-organizer of DataBeersVenezia and one of the communication managers of the CCHT.