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Assistant Professor in the Department of Computer Science+44 (0) 191 33 41650


Intro ... in the third person ;)

Mark Gotham specialises in computational methods for music theory, analysis, and composition. He holds the rare distinction of being appointed to permanent faculty positions in both STEM (now, at Durham) and in the humanities (previously Professor of Music Theory at T. U. Dortmund). Mark had held several other posts (in the UK, US, and Germany) and has degrees from Cambridge (PhD), the RNCM (MMus), and Oxford (BA, graduating with the Gibbs prize for the highest-ranking first class degree in the subject).


Computer-aided methods can help not only to advance what we know about (a wide range of) musical structures, but also what we can do with that knowledge, and who can access it. Central to much of this is the encoding of human analyses in computer-readable formats.

A short list of recent publications is provided below (indexed on this webage from Durham's internal listings). For a more complete list see any of:

... And more

Beyond core research, my work has inluded commercial contracts, musical composition, and more.

  • Notable commercial contracts have included the “Beethoven X” project for Deutsche Telekom: a commission to create some kind of realisation of Beethoven’s plans for a 10th symphony using AI (click here for further links).
  • Earlier in my career, I was a highly active as a performer (singer, multi-instrumentalist, and conductor). Highlights included conducting principal players of the LSO and Philharmonia Orchestra in contemporary music projects. (Those days of active performance sure look like they're are over, though!)
  • Composition highlights include broadcasts on BBC Radio 3 and national Chinese television, as well as a debut CD of compositions (‘Utrumne est Ornatum’, REGCD485) that attracted positive critical reviews, (e.g., with the Choir and Organ and Organists’ Review magazines awarding 5-stars).

Reach out!

I am an enthusiastic collaborator, regularly working with scholars (and musicians) at all career stages and all around the world. Prospective students are especially welcome to reach out at any time.

Research interests

  • Computational approached to music: composition, theory, and analysis;
  • Computational/Digital humanities;
  • Corpus creation and study;
  • Mathematical modelling;
  • Wider access, outreach, pedagogical/public-facing resources


Conference Paper

Conference Proceeding

Journal Article