Hugo Scurto

Hugo Scurto is a researcher, musician, and designer. His research employs art, design, and science approaches to inquire, develop, and study machine learning technology within an ecology of music. His practice consists in creating interactive sound and music dispositifs in which machine learning seeks to reveal and reconfigure the entanglement of individuals and their material environments. Hugo Scurto is currently postdoctoral researcher at EnsadLab, and co-founding member of wolfgang, a Paris-based music design collective. Before this, he completed a doctoral thesis in Machine Learning and Music Interaction at IRCAM (2016-2019), and was visiting researcher at Department of Computing, Goldsmiths University of London (2015-2016). He graduated in Physics from Ecole Normale Supérieure Paris-Saclay (2011-2016), received the MSc in Engineering from Sorbonne Université (2015), and trained in Popular Music at Cité de la Musique de Marseille (2005-2011).