Summary
Torsten Anders is a research and development engineer and composer with over two decades of experience building software for computer-aided composition and computational music theory. He combines a PhD in Music Technology with hands-on systems development dating back to early work in the Music, Mind, Machine group and continued R&D at Plymouth and Bedfordshire universities. At Aiva since 2019, he applies constraint-based modelling—originating in his Strasheela system—and brain-imaging-informed compositional techniques to bridge algorithmic composition and practical music technology. Torsten’s background in electro-acoustic and instrumental composition, plus international performances of his works, gives him a rare practitioner-researcher perspective that informs pragmatic, music-aware engineering. Based in Luxembourg, he often operates at the intersection of artistic practice and formal computational models, turning music-theoretical ideas into reusable software.
10 years of coding experience
1 year of employment as a software developer
PgCert, Learning & Teaching in Higher Education, PgCert, Learning & Teaching in Higher Education at Plymouth University
Doctor of Philosophy (PhD), Music (Music Technology), Doctor of Philosophy (PhD), Music (Music Technology) at Queen’s University Belfast
MMus, Composition, MMus, Composition at Hochschule für Musik Franz Liszt Weimar
French, Dutch, English, German