Sofian Audry creates computational artistic works through different forms such as robotics, interactive installations, immersive environments, physical computing interventions, internet art, and electronic literature. His work is inspired from visual art, artificial intelligence, artificial life, biology and cognitive sciences.

Audry studied computer science and mathematics at University of Montreal (BSc, 2001) where he completed a master in machine learning with Yoshua Bengio (MSc, 2003); following which he obtained a master in communication (interactive media) at UQÀM (MA, 2010). His PhD is in Humanities from Concordia University, with Chris Salter (2016). In 2017 he was a Postdoctoral Fellow at the Massachusetts Institute of Technology and between 2017 and 2019 he was an Assistant Professor of New Media at the University of Maine.

Sofian is Assistant Professor of Digital Arts & Sciences in the Department of Communication, Media & Design at Clarkson University (USA). He is actively involved in his community as part of artist-run center Perte de Signal (Montréal, Canada) which he led as president of the board in 2009-2017, and as lead developer of open source video mapping software MapMap.

His work and research have been presented in multiple international events and venues such as Ars Electronica, Barbican, Club Transmediale, Dutch Design Week, Festival Elektra, International Digital Arts Biennale, International Symposium on Electronic Art, LABoral, La Gaîté Lyrique, Biennale de Marrakech, Nuit Blanche Paris, Société des Arts Technologiques, V2 Institute for Unstable Media Muffathalle Munich and the Vitra Design Museum.

"Driven by a fascination for autonomous, adaptive and self-organizing systems, I use technologies from artificial intelligence and artificial life in the construction of evocative machinic assemblages. Through them and the relationships they develop with the real world, I wish to engage directly in natural-cultural processes. My open-ended and stratified works expand through different complexity levels, like life itself.

Computer programming is the cornerstone of my practice. I see it not only as a tool but also both a material and a creative practice. My algorithms are built within multiple materials such as image, light, sound and movement, creating dynamic artworks with diverse and hybrid forms. My dedication to using open source software and material, combined with my practice’s specific fusion of art and science speaks to my engagement in alternative dialogues for knowledge creation and dissemination.

My practice borrows from experimental science and hacking. I develop my projects iteratively through short research and development cycles in which ideas, forms and matter collide. Each new project becomes another opportunity to engage in a dialogue with matter, to enact the world around me. I picture myself working through this situation as an embodied agent, exchanging with my environment in an ongoing feedback loop.

My recent works depict autonomous electronic agents evolving directly in non-controlled, often hostile environments. I explore the ways in which these precarious, often ephemeral assemblages, may evolve in their environment and adapt to it. Taking as a starting point the desires and motivations of these artificial agents, I invert, so to speak, the locus of control: neither the artist nor the audience have direct control over the agent. My biggest challenge is to propose new forms of aesthetic experience through the development of adaptive works using machine-learning algorithms."

– Sofian Audry