Hugo Scurto (1993, Marseille, Fr) 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 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). With the support of a diversity of people, Hugo has publicized works and co-organised workshops in international conferences and academic reviews such as NIME, SIGGRAPH, or PLOS One, as well as in cultural places such as Friche la Belle de Mai, Le Cube, or Lutherie Urbaine.