Matthew Yee-King (DPhil, MSc, BSc) is an academic in the department of computing, Â鶹¹ÙÍø.
In 2013 he delivered the first English language MOOC on the coursera platform, attracting an enrolment of 97,000. As the project manager for the €3m PRAISE research project, he managed the development and trialling of innovative education technology, including media annotation systems.
He is the CTO of , a spin out company that is innovating PRAISE technology into the marketplace. He has also carried out research into audio analysis and creative applications of machine learning, including a series of commissioned musical AI systems that have performed alongside human musicians on BBC national radio and at venues such as the Wellcome Collection.
Academic qualifications
BSc Zoology and Genetics, Leeds University, 1996
MSc Evolutionary and Adaptive Systems, Sussex University, 2000
DPhil Computer Science and Artificial Intelligence, Sussex University, 2010
Teaching
Matthew is responsible for development of online course provision within the Computing department, having developed and delivered MOOCs that have been taken by hundreds of thousands of students. He has previously taught a range of courses including programming, audiovisual computing and web development.
Yee-King, Matthew. 2015. Evosynth: ACM-CIE DOI with data.
Report
Yee-King, Matthew. 2026. Case Studies and Reflections on Agentic Software Engineering for Rapid Development of Digital Music Instruments. ['eprint_fieldopt_monograph_type_technical_report' not defined].
Osman, Nardine; d'Inverno, Mark; Sierra, Carles; Amgoud, Leila; Prade, Henri; Yee-King, Matthew; Confalonieri, Roberto; de Jonge, Dave and Hazelden, Katina. 2013. An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality. ['eprint_fieldopt_monograph_type_working_paper' not defined]. IIIA, Vienna, Austria.
Software
Roth, Martin and Yee-King, Matthew. 2008. A Java-based VST Host. VST instruments and effects can be loaded and manipulated by this library in Linux, OS X, and Windows.
Other
Yee-King, Matthew. 2026. 'Build a co-creative musical agent'. In: Coursera degrees taster lecture. Online 29 June 2026. [['eprint_typename_conference_item' not defined]]
de Berardinis, Jacopo; Buckley, Tess; Porcaro, Lorenzo; Brett, Thomas; Merono-Penuela, Albert; Cangelosi, Angelo; de Boo, Joost; Leone de Castris, Arcangelo; d'Inverno, Mark; Eriksson, Maria; Ganapini, Marianna; Gervais, Daniel; Grosse-Buening, Iliana; Huang-Kokina, Alexandra; Jacques, Sabine; Keating, Ella; Laidlow, Robert; McShane, Loren; Mirowski, Piotr; Morreale, Fabio; Moruzzi, Caterina; Murphy, Oonagh; Pedeferri, Andrea; Rojer, Jean-Jacques; Stakounis, Paul; Wilson, Elizabeth and Yee-King, Matthew. 2026. RAIM: Operationalising Trustworthy AI in Music Generation. IEEE Transactions on Technology and Society, ISSN 2637-6415 [['eprint_typename_article' not defined]] (Forthcoming)
Alnassar, Fatema Mohammad; Blackwell, Tim; Homayounvala, Elaheh and Yee-King, Matthew. 2026. Addressing Class Imbalance in Predicting Student Performance Using SMOTE and GAN Techniques. Applied Sciences, 16(7), 3274. ISSN 2076-3417 [['eprint_typename_article' not defined]]
Murturi, Sokol; Yee-King, Matthew; Walton-Rivers, Joseph; Scott, Michael James and Gillies, Marco. 2025. 'Melete: Validating the Creativity Support Index as a Metric for Evaluating the Integration of AI In Software Pipelines'. In: Synergy 2025 HHAI-WS 2025: Workshops at the Fourth International Conference on Hybrid Human-Artificial Intelligence (HHAI). Pisa, Italy 9 - 13 June 2025. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew. 2025. 'Improvisation and future directions for AI and Music​'. In: AI, Creative Expression & Skills: Forging New Pathways Together, with Arts Council England and techUK. techUK, Â鶹¹ÙÍø, United Kingdom 23 July 2025. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and Fiorucci, Andrea. 2025. 'Deploying language model-based assessment support technology in a computer science degree: How do the academics feel about it?'. In: IEEE Global Engineering Education Conference (IEEE EDUCON). Queen Mary University of Â鶹¹ÙÍø, United Kingdom 22 - 25 April 2025. [['eprint_typename_conference_item' not defined]]
Murturi, Sokol; Pellicone, Tony; Yee-King, Matthew and Gillies, Marco. 2025. 'Melete: Exploring the Components of Mixed-Initiative Artificial Intelligence Pipelines for Level Design'. In: Synergy 2025 HHAI-WS 2025: Workshops at the Fourth International Conference on Hybrid Human-Artificial Intelligence (HHAI). Pisa, Italy 9 - 13 June 2025. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew. 2025. SuperCollider on Small Computers. In: Scott Wilson; David Cottle and Nick Collins, eds. The SuperCollider Book (Second Edition). Cambridge, MA: MIT Press, ['lib/metafield/pagerange:range' not definedpagerange295-316from295to316]. ISBN 9780262049702 [['eprint_typename_book_section' not defined]]
Yee-King, Matthew and d'Inverno, Mark. 2024. 'Harmonies of the Future: Barcelona Music Lab Event Talk December 2024'. In: The I Conference on Music & AI in Images. Barcelona, Spain 5 December 2024. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew. 2024. '[Teaching people how to] build AI-enhanced Audio Plugins'. In: Audio Developer Conference. Bristol, United Kingdom 1 November 2024. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew; De Jonge, Dave; Confalonieri, Roberto; Osman, Nardine; d'Inverno, Mark; Sierra, Carles; Amgoud, Leila and Hazelden, Katina. 2024. The WeCurate Application. In: Nardine Osman, ed. Electronic Institutions: Applications to uHelp, WeCurate and PeerLearn. Cham, Switzerland: Springer International Publishing, ['lib/metafield/pagerange:range' not definedpagerange81-96from81to96]. ISBN 9783319656045 [['eprint_typename_book_section' not defined]]
Yee-King, Matthew. 2024. 'Applications of AI in the BSc CS degree'. In: UCL School of Management Knowledge exchange forum: making genai work for and in education. UCL School of Management, Â鶹¹ÙÍø, United Kingdom. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and d'Inverno, Mark. 2024. 'Strategies for building AI-enhanced audio software with impact'. In: AIMC 2024. Oxford, United Kingdom 9 - 11 September 2024. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew; d'Inverno, Mark and Fiorucci, Andrea. 2024. 'Designing an AI-creativity music course'. In: AIMC 2024. Oxford, United Kingdom 9 - 11 September 2024. [['eprint_typename_conference_item' not defined]]
Strauss, Lucy and Yee-King, Matthew. 2024. 'Towards a Machine Somaesthete: Latent Modeling of EMG Signals in Viola Playing'. In: 9th International Conference on Movement and Computing (MOCO '24). Utrecht, Netherlands 30 May - 2 June 2024. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew. 2024. Build AI-Enhanced Audio Plugins with C++. Abingdon: Routledge/Focal Press. ISBN 9781032430461 [['eprint_typename_book' not defined]]
Lionetti, Davide; Pappas, Antonios; Comanducci, Luca; Bernardini, Alberto; Zanoni, Massimiliano; Sarti, Augusto; Yee-King, Matthew and d'Inverno, Mark. 2023. 'HandMonizer: a case study for personalized digital musical instrument design'. In: 4th International Symposium on the Internet of Sounds. Pisa, Italy 26-27 October 2023. [['eprint_typename_conference_item' not defined]]
Fiorucci, Andrea; Yee-King, Matthew and Gillies, Marco. 2023. 'Beyond Motivation and Engagement: Students’ Voices on the Use of Game-Based Learning in a Bachelor Computer Science Online Degree'. In: 2023 ACM Conference on Information Technology for Social Good (GoodIT ’23). Lisbon, Portugal 6 - 8 September 2023. [['eprint_typename_conference_item' not defined]]
Strauss, Lucy and Yee-King, Matthew. 2023. 'Extensible Embodied Knowledge: Bridging Performance Practice and Intelligent Performance System Design'. In: The International Conference on AI and Musical Creativity (AIMC 2023). University of Sussex, United Kingdom 30 August - 1 September 2023. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew. 2022. Latent Spaces: A Creative Approach. In: Craig Vear and Fabrizio Poltronieri, eds. The Language of Creative AI: Practices, Aesthetics and Structures. Cham, Switzerland: Springer, ['lib/metafield/pagerange:range' not definedpagerange137-154from137to154]. ISBN 9783031109591 [['eprint_typename_book_section' not defined]]
Yee-King, Matthew and McCallum, Louis. 2021. 'Studio report: sound synthesis with DDSP and network bending techniques'. In: 2nd Conference on AI Music Creativity (MuMe + CSMC). Graz, Austria 18 – 22 July 2021. [['eprint_typename_conference_item' not defined]]
de Wardener, Max and Yee-King, Matthew. 2021. Sun Begins to Fade. [['eprint_typename_composition' not defined]] (Forthcoming)
McCallum, Louis and Yee-King, Matthew. 2020. 'Network Bending Neural Vocoders'. In: 4th Workshop on Machine Learning for Creativity and Design at NeurIPS 2020, Vancouver, Canada.. Vancouver, Canada 2020. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew; McCallum, Louis; Llano, Maria Teresa; Ruzicka, Vit; d'Inverno, Mark and Grierson, Mick. 2020. 'Examining Student Coding Behaviours in Creative Computing Lessons using Abstract Syntax Trees and Vocabulary Analysis'. In: 2020 ACM Conference on Innovation and Technology in Computer Science Education. Trondheim, Norway. [['eprint_typename_conference_item' not defined]]
McCormack, Jon; Hutchings, Patrick; Gifford, Toby; Yee-King, Matthew; Llano, Maria Teresa and d'Inverno, Mark. 2020. Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence. Organised Sound, 25(1), ['lib/metafield/pagerange:range' not definedpagerange41-52from41to52]. ISSN 1355-7718 [['eprint_typename_article' not defined]]
Llano, Maria Teresa; d'Inverno, Mark; Yee-King, Matthew; McCormack, Jon; Ilsar, Alon; Pease, Alison and Colton, Simon. 2020. 'Explainable Computational Creativity'. In: International Conference on Computational Creativity 2020 (ICCC'20). Coimbra, Portugal 7 - 11 September 2020. [['eprint_typename_conference_item' not defined]]
Grierson, Mick; Yee-King, Matthew; McCallum, Louis; Kiefer, Chris and Zbyszynski, Michael. 2019. 'Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions'. In: ICMC/NYCEMF 2019. New York, United States 16-23 June 2019. [['eprint_typename_conference_item' not defined]]
McCormack, Jon; Gifford, Toby; Hutchings, Patrick; Llano, Maria Teresa; Yee-King, Matthew and d'Inverno, Mark. 2019. 'In a Silent Way: Communication between AI and improvising musicians beyond sound'. In: CHI 2019 Conference on Human Factors in Computing Systems. Glasgow, United Kingdom 4-9 May 2019. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew; Wilmering, Thomas; Llano, Maria Teresa; Krivenski, Maria and d'Inverno, Mark. 2019. Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance. Frontiers in Digital Humanities, 5(29), [['eprint_typename_article' not defined]]
Still, Arthur; Yee-King, Matthew and d'Inverno, Mark. 2019. Creativity and Feedback: Designing Systems to Support Student Learning and Improve Instruction. In: Kevin A. Gluck and John A. Laird, eds. Interactive Task Learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions. 26 MIT Press, ['lib/metafield/pagerange:from_page' not definedpagerange217from217]. ISBN 9780262349420 [['eprint_typename_book_section' not defined]]
Yee-King, Matthew and Dall’Avanzi, Igor. 2018. Procedural Audio in Video Games. In: Newton Lee, ed. Encyclopedia of Computer Graphics and Games. Cham, Switzerland: Springer. ISBN 9783319082349 [['eprint_typename_book_section' not defined]]
Yee-King, Matthew; Fedden, Leon and d'Inverno, Mark. 2018. Automatic Programming of VST Sound Synthesizers using Deep Networks and Other Techniques. IEEE Transactions on Emerging Topics in Computational Intelligence, 2(2), ['lib/metafield/pagerange:range' not definedpagerange150-159from150to159]. ISSN 2471-285X [['eprint_typename_article' not defined]]
Gifford, Toby; Knotts, Shelly; McCormack, Jon; Kalonaris, Stefano; Yee-King, Matthew and d'Inverno, Mark. 2018. Computational Systems for Music Improvisation. Digital Creativity, 29(1), ['lib/metafield/pagerange:range' not definedpagerange19-36from19to36]. ISSN 1462-6268 [['eprint_typename_article' not defined]]
Zbyszynski, Michael; Grierson, Mick; Yee-King, Matthew and Fedden, Leon. 2017. 'Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten'. In: Web Audio Conference 2017. Centre for Digital Music, Queen Mary University of Â鶹¹ÙÍø, United Kingdom 21-23 August 2017. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew; Grierson, Mick and d'Inverno, Mark. 2017. Evidencing the value of inquiry based, constructionist learning for student coders. International Journal of Engineering Pedagogy, 7(3), ['lib/metafield/pagerange:range' not definedpagerange109-129from109to129]. ISSN 2192-4880 [['eprint_typename_article' not defined]]
Yee-King, Matthew; Grierson, Mick and d'Inverno, Mark. 2017. 'STEAM WORKS: Student coders experiment more and experimenters gain higher grades'. In: EDUCON2017: IEEE Global Engineering Education Conference. Athens, Greece April 26-28, 2017. [['eprint_typename_conference_item' not defined]]
Zbyszynski, Michael; Grierson, Mick and Yee-King, Matthew. 2017. 'Rapid Prototyping of New Instruments with CodeCircle'. In: New Interfaces for Musical Expression. Copenhagen, Denmark 15-18 May 2017. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew. 2016. The Use of Interactive Genetic Algorithms in Sound Design: A Comparison Â鶹¹ÙÍø. Computers in Entertainmnent: Special Issue on Musical Metacreation, [['eprint_typename_article' not defined]]
Fiala, J; Yee-King, Matthew and Grierson, Mick. 2016. Collaborative Coding Interfaces on the Web. Proceedings of the International Conference on Live Interfaces, ['lib/metafield/pagerange:range' not definedpagerange49-57from49to57]. [['eprint_typename_article' not defined]]
al-Rifaie, Mohammad Majid; Yee-King, Matthew and d'Inverno, Mark. 2016. 'Investigating Swarm Intelligence for Performance Prediction'. In: Proceedings of the 9th International Conference on Educational Data Mining. Raleigh, NC, United States 29 June - 2 July 2016. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and d'Inverno, Mark. 2016. 'Experience Driven Design of Creative Systems'. In: Proceedings of the 7th Computational Creativity Conference (ICCC 2016). Paris, France. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and d'Inverno, Mark. 2016. 'Experience driven design of creative systems'. In: Proceedings of the Seventh International Conference on Computational Creativity. Paris, France 27 June - 1 July 2016. [['eprint_typename_conference_item' not defined]]
Confalonieri, Roberto; Yee-King, Matthew; Hazelden, Katina; d'Inverno, Mark; De Jonge, Dave; Osman, Nardine; Sierra, Carles; Agmoud, Leila and Prade, Henri. 2015. Engineering multiuser museum interactives for shared cultural experiences. Engineering Applications of Artificial Intelligence, 46(Part A), ['lib/metafield/pagerange:range' not definedpagerange180-195from180to195]. ISSN 0952-1976 [['eprint_typename_article' not defined]]
Gillies, Marco; Brenton, Harry; Yee-King, Matthew; Grimalt-Reynes, Andreu and d'Inverno, Mark. 2015. 'Sketches vs Skeletons: Video Annotation Can Capture What Motion Capture Cannot'. In: Proceedings of the 2Nd International Workshop on Movement and Computing. Vancouver, Canada. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew; Krivenski, Maria; Brenton, Harry and d'Inverno, Mark. 2015. Music circle: designing educational social machines for effective feedback. In: Luc Steels, ed. Music learning with Massive Open Online Courses (MOOCs). 6 Amsterdam: IOS Press, ['lib/metafield/pagerange:range' not definedpagerange87-100from87to100]. ISBN 9781614995920 [['eprint_typename_book_section' not defined]]
Brenton, Harry; Yee-King, Matthew; Grimalt-Reynes, Andreu; Gillies, Marco; Krivenski, Maria and d'Inverno, Mark. 2014. 'A Social Timeline for Exchanging Feedback about Musical Performances'. In: Proceedings of the 28th International BCS Human Computer Interaction. Southport, United Kingdom. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and d'Inverno, Mark. 2014. 'Pedagogical agents for social music learning in Crowd-based Socio-Cognitive Systems'. In: Crowd Intelligence: Foundations, Methods, and Practices (CEUR Workshop Proceedings). Barcelona, Spain. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and d'Inverno, Mark. 2014. Pedagogical Agents for Social Music Learning in Crowd-Based Socio-Cognitive Systems. Crowd Intelligence: Foundations, Methods, and Practices (CEUR Workshop Proceedings), 1148, ['lib/metafield/pagerange:range' not definedpagerange76-93from76to93]. ISSN 1613-0073 [['eprint_typename_article' not defined]]
Hazelden, Katina; Yee-King, Matthew; Confalonieri, Roberto; Sierra, Carles; Ghedini, Fiammetta; De Jonge, Dave; Osman, Nardine and d'Inverno, Mark. 2013. 'Multiuser Museum Interactives for Shared Cultural Experiences: an Agent-based Approach'. In: CHI'13 Extended Abstracts on Human Factors in Computing Systems. Paris. [['eprint_typename_conference_item' not defined]]
Hazelden, Katina; Yee-King, Matthew; d'Inverno, Mark; Confalonieri, Roberto; De Jonge, Dave; Amgoud, Leila; Osman, Nardine; Prade, Henri and Sierra, Carles. 2012. 'WeCurate: Designing for synchronised browsing and social negotiation'. In: The first International Conference on Agreement Technologies. Dubrovnik, Croatia. [['eprint_typename_conference_item' not defined]]
Yee-King, Matthew and Roth, Martin. 2011. 'A Comparison of Parametric Optimisation Techniques for Musical Instrument Tone Matching'. In: Audio Engineering Society Convention 130. Â鶹¹ÙÍø, United Kingdom. [['eprint_typename_conference_item' not defined]]
Grierson, Mick; Kiefer, Chris and Yee-King, Matthew. 2011. 'Progress Report on the EAVI BCI Toolkit for Music: Musical Applications of Algorithms for use with consumer brain computer interfaces'. In: Proc. ICMC. Huddersfield, United Kingdom. [['eprint_typename_conference_item' not defined]]
