I am a music composer and computer programmer, working and innovating at the nexus of computer-assisted music composition and posthuman artistic research. My work, deeply engaged with aleatoric and generative methods, explores the integration of AI and blockchain technologies for creating novel compositional frameworks and enhancing musical interactivity.

I am a doctoral fellow in the MetamusicX research group at the Orpheus Institute in Ghent and a PhD candidate at the Academy of Creative and Performing Arts of Leiden University. As part of my work in these positions, I am developing a concept of 'performative transactions', describing a new technologically-oriented method for composing agential systems (posthumanist agential assemblages) in music.

As a lecturer, I participate in numerous international scientific and artistic events. My course "Posthuman Creativity Labs: Artificial Intelligence and Blockchain in Music" has now been successfully taught in various forms at several music institutions, including Conservatorium van Amsterdam, HEAD Genève, Iceland University of the Arts, and others.

As a computer programmer, I gained experience working for several start-ups and at the Polish Information Processing Society. I studied Music Composition at Conservatorium van Amsterdam and at Guildhall School of Music & Drama in London.

Recently, I co-edited (with Paulo de Assis) a new book "Decentralised Music: Exploring Blockchain for Artistic Research" (CRC Press / Taylor & Francis). I also minted my third generative music NFT project "Subtraction" on fxhash, backed by Tezos (https://www.fxhash.xyz/article/subtraction-a-posthumanist-musical-assemblage-on-fx(hash)). Together with Martin Zeilinger, we are currently working on convening a conference "Decentralised Creativity and Agential Systems in Music" to be held at Orpheus Institute, Ghent on 17-18 November 2025. Read more about the conference here: https://orpheusinstituut.be/en/news-and-events/decentralised-creativity-call

Website: www.adamlukawski.com

Researcher identifier:
ORCID iD: 0000-0003-2147-7214