His interdisciplinary practice combines artistic production with research techniques from the humanities, science and technology studies, natural language processing, artificial intelligence, and machine learning. He uses a practice-based research approach to create artworks and games that provide an experiential understanding of topics where information may be limited, such as automated decision-making systems used by algorithmic stock trading systems and Open Source Intelligence (OSINT) gathering practices. He has been published in Big Data & Society and his artwork has been widely exhibited at venues and festivals.