Matthew Yee-King (DPhil, MSc, BSc) is an academic in the department of computing, 樱桃视频.
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 鈧�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.
Publications and research outputs
Book
Yee-King, Matthew. 2024. Build AI-Enhanced Audio Plugins with C++. Abingdon: Routledge/Focal Press. ISBN 9781032430461
Book Section
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, pp. 295-316. ISBN 9780262049702
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, pp. 81-96. ISBN 9783319656045
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, pp. 137-154. ISBN 9783031109591
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, p. 217. ISBN 9780262349420
Yee-King, Matthew and Dall鈥橝vanzi, Igor. 2018. Procedural Audio in Video Games. In: Newton Lee, ed. Encyclopedia of Computer Graphics and Games. Cham, Switzerland: Springer. ISBN 9783319082349
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, pp. 87-100. ISBN 9781614995920
Article
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), pp. 41-52. ISSN 1355-7718
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),
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), pp. 150-159. ISSN 2471-285X
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), pp. 19-36. ISSN 1462-6268
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), pp. 109-129. ISSN 2192-4880
Yee-King, Matthew. 2016. The Use of Interactive Genetic Algorithms in Sound Design: A Comparison Study. Computers in Entertainmnent: Special Issue on Musical Metacreation,
Fiala, J; Yee-King, Matthew and Grierson, Mick. 2016. Collaborative Coding Interfaces on the Web. Proceedings of the International Conference on Live Interfaces, pp. 49-57.
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), pp. 180-195. ISSN 0952-1976
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, pp. 76-93. ISSN 1613-0073
Conference or Workshop Item
Yee-King, Matthew. 2025. 'Improvisation and future directions for AI and Music鈥�'. In: AI, Creative Expression & Skills: Forging New Pathways Together, with Arts Council England and techUK. techUK, London, United Kingdom 23 July 2025.
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: Designing and Building Hybrid Human鈥揂I Systems. HHAI-WS 2025: Workshops at the Fourth International Conference on Hybrid Human-Artificial Intelligence (HHAI). Pisa, Italy 9 - 13 June 2025.
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 London, United Kingdom 22 - 25 April 2025.
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.
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.
Yee-King, Matthew. 2024. '[Teaching people how to] build AI-enhanced Audio Plugins'. In: Audio Developer Conference. Bristol, United Kingdom 1 November 2024.
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, London, United Kingdom.
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.
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.
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.
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.
Fiorucci, Andrea; Yee-King, Matthew and Gillies, Marco. 2023. 'Beyond Motivation and Engagement: Students鈥� 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 鈥�23). Lisbon, Portugal 6 - 8 September 2023.
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.
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 鈥� 22 July 2021.
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.
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.
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.
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.
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.
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 London, United Kingdom 21-23 August 2017.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Yee-King, Matthew and Roth, Martin. 2011. 'A Comparison of Parametric Optimisation Techniques for Musical Instrument Tone Matching'. In: Audio Engineering Society Convention 130. London, United Kingdom.
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.
Composition
de Wardener, Max and Yee-King, Matthew. 2021. Sun Begins to Fade.
Yee-King, Matthew. 2015. Evosynth: ACM-CIE DOI with data.
Report
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. Working Paper. 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.
