Matthew interests are in education technology, automatic sound synthesizer programming and interactive music systems.
Staff details
Matthew Yee-King (DPhil, MSc, BSc) is an academic in the department of computing, Goldsmiths, University of London.
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 Museifi , 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 Book Section SuperCollider on Small Computers 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. ISBN 9780262049702 The WeCurate Application 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 Latent Spaces: A Creative Approach 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
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Creativity and Feedback: Designing Systems to Support Student Learning and Improve Instruction 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 Procedural Audio in Video Games 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 Music circle: designing educational social machines for effective feedback 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 Design Considerations for Real-Time Collaboration with Creative Artificial Intelligence 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 Technology Enhanced Learning: The Role of Ontologies for Feedback in Music Performance 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), Automatic Programming of VST Sound Synthesizers using Deep Networks and Other Techniques 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
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Computational Systems for Music Improvisation Yee-King, Matthew and d'Inverno, Mark . 2018. Computational Systems for Music Improvisation. Digital Creativity, 29(1), pp. 19-36. ISSN 1462-6268 Evidencing the value of inquiry based, constructionist learning for student coders 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 The Use of Interactive Genetic Algorithms in Sound Design: A Comparison Study Yee-King, Matthew . 2016. The Use of Interactive Genetic Algorithms in Sound Design: A Comparison Study. Computers in Entertainmnent: Special Issue on Musical Metacreation, Collaborative Coding Interfaces on the Web 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. Engineering multiuser museum interactives for shared cultural experiences 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 Pedagogical Agents for Social Music Learning in Crowd-Based Socio-Cognitive Systems 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
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Applications of AI in the BSc CS degree 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. Strategies for building AI-enhanced audio software with impact 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. Designing an AI-creativity music course 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. Towards a Machine Somaesthete: Latent Modeling of EMG Signals in Viola Playing 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. HandMonizer: a case study for personalized digital musical instrument design 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. Beyond Motivation and Engagement: Students’ Voices on the Use of Game-Based Learning in a Bachelor Computer Science Online Degree 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. Extensible Embodied Knowledge: Bridging Performance Practice and Intelligent Performance System Design 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. Studio report: sound synthesis with DDSP and network bending techniques 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. Network Bending Neural Vocoders 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. Examining Student Coding Behaviours in Creative Computing Lessons using Abstract Syntax Trees and Vocabulary Analysis 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. Explainable Computational Creativity 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. Contemporary Machine Learning for Audio and Music Generation on the Web: Current Challenges and Potential Solutions 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. In a Silent Way: Communication between AI and improvising musicians beyond sound 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. Write once run anywhere revisited: machine learning and audio tools in the browser with C++ and emscripten 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. STEAM WORKS: Student coders experiment more and experimenters gain higher grades 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. Rapid Prototyping of New Instruments with CodeCircle 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. Investigating Swarm Intelligence for Performance Prediction 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. Experience Driven Design of Creative Systems 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. Experience driven design of creative systems 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. Sketches vs Skeletons: Video Annotation Can Capture What Motion Capture Cannot 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. A Social Timeline for Exchanging Feedback about Musical Performances 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. Pedagogical agents for social music learning in Crowd-based Socio-Cognitive Systems 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. Multiuser Museum Interactives for Shared Cultural Experiences: an Agent-based Approach 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. WeCurate: Designing for synchronised browsing and social negotiation 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. A Comparison of Parametric Optimisation Techniques for Musical Instrument Tone Matching 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. Progress Report on the EAVI BCI Toolkit for Music: Musical Applications of Algorithms for use with consumer brain computer interfaces 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 Digital Report An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality 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
Research Interests
Education technology, creative musical Ais, computer Music, automatic sound synthesizer programming, genetic algorithms, interactive music systems.
Current research
Automated sound synthesizer programming and interactive music systems.
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