Lorenzo Porcaro is a Research and Teaching Staff at the Music Technology Group, Universitat Pompeu Fabra (MTG/UPF) in Barcelona. His current research is at the intersection between Music Information Retrieval and Social Computing, investigating new methods for assessing the impact of music recommendation diversity on the listeners' experience. He holds a BSc degree in Applied Mathematics from "La Sapienza" University of Rome, a MSc degree in Sound and Music Computing, and a MSc in Intelligent Interactive Systems from Universitat Pompeu Fabra. He also had several work experiences in the music industry as data engineer (SoundCloud, MonkingMe, BMAT).
Lorenzo's research is focusing on the assessment of the impact of music recommendation technologies on people's behaviours. Recommender system's role is to help users in finding music that can fit their interests and tastes, but its design is often subject to criticisms because of its power of reinforcing already existing cultural bias. Based on already known consequences of the use of information technologies in political, economic and social areas, Lorenzo's main goal is to understand the cultural impact that music recommender systems can have on our society.