Gabriel Vigliensoni is a Montréal-based electronic music artist, performer, and researcher whose work explores the creative possibilities of machine learning in sound and music creation. His practice bridges artistic experimentation and technological research, developing new approaches to electronic music composition and live performance.
With a background that combines formal musical training, sound recording, music production, music information retrieval, human-computer interaction, and machine learning, Vigliensoni investigates how emerging technologies can expand the language of electronic music. His work focuses on the interaction between artists, machines, and audiences in the context of digital creativity.
Across his career, Vigliensoni has explored a wide range of electronic styles and approaches. His projects have included techno and breakbeat experimentation, the fusion of krautrock and electronica, vocal-driven compositions that move beyond traditional pop structures, and procedural composition techniques that challenge conventional ideas of liveness in digital music production.
At the core of his practice is the belief that sound and music are shared experiences, completed through interaction with audiences and performers. By integrating computational tools and artistic intuition, Vigliensoni continues to push the boundaries of experimental electronic music in Montréal and beyond.
