Vigliensoni is a Montréal-based electronic music artist and performer exploring workflow as experimentation within contemporary music. As a music researcher and long-career artist, he is well-versed in both state-of-the-art and experimental music production techniques, analog and digital machinery for music-making, as well as the many underground and avant-garde subcultures surrounding house and techno. He holds a Ph.D. in Music Technology from McGill University and is currently a postdoctoral research fellow in the Department of Computing at Goldsmiths University of London and a visiting researcher at University of the Arts London’s Creative Computing Institute, where he is investigating the creative capabilities and affordances of the machine learning paradigm for assisting musical composition.
In Clastic Music, his latest record, vigliensoni plays with the geological idea of the clast, where new forms are created out of pre-existing fragments. Improvising through a custom-built instrument driven by machine learning, vigliensoni uses musical fragments to deliver intricate and skittery beats, while building leftfield and energetic soundscapes.