Personal Statement
Dr. Kyle Worrall is a Lecturer in Game Design in the Music Department and holds a PhD in Intelligent Games and Games Intelligence from the University of York, where as part of the Centre for Doctoral Training in IGGi, his work specialised in the application of deep learning to video game music and explored the ways in which non-generative AI can be used to enhance player experiences. His further work explores how AI can be used to support audio professionals without infringing on the creative and fun parts of music creation, and more specifically into how musicians use and adopt such tools.

Beyond research, Kyle is the founder of University of York spinout Cocreative Technology LTD, which builds on his PhD IP which uses deep learning to perform music like humans, to develop ethical, human-in-the-loop AI tools for music creators, and he has a variety of experience in industry/freelance roles, which inform his teaching, such as: bass player in a signed death metal band; bass player on cruise ships; freelance game and film composer; freelance live sound engineer; and Junior Audio Programmer for Nemisindo LTD.

Kyle has previous experience as a Lecturer in Games Programming in the Computer Science department of Edge Hill University, and has completed a PGCTHE with distinction which explores the impact of neurodiversity on student attainment in HE settings.

Research Overview
Research topics: procedural and generative music, machine learning and deep learning for music, game design, game audio, AI tool adoption, ethics and legal considerations around AI, player experience around intelligence audio systems, integrating deep learning for audio in game engines.

PGR Supervision: Previously supervised three MRes candidates exploring: music implementation in horror games, LLMs for music analysis, and LLMs as composition companions.

Grants:
- Successful in bidding for a grant for commercialising research-based IP from the AI Super Connector Programme (AISC) in collaboration with Google, Imperial College London, University of York, University of Liverpool, University of Leeds (£20,000 and the equivalent of £20,000 in Google Cloud credits).
- Successful in bidding for Edge Hill University's Departmental Opportunity Fund (£5,000).
- Currently awaiting the result of a bid for the Leverhulme SRG (£10,000)

Previous Invited Conference Talks/Panels:
- K. Worrall. (2026). Factors affecting the Acceptance of Artificially Intelligent Music Systems. Intelligent Games and Game Intelligence Conference, London, Sept 13-14. Invited Speaker.
- K. Worrall. (2026). Panel on Responsible Game Design. Intelligent Games and Game Intelligence Conference, London, Sept 13-14.
- K. Worrall. (2025). New Frontiers in Game Audio. Develop, Brighton, UK. July. 8-10. Backup Speaker.
- K. Worrall. (2025). New Frontiers in Game Audio: AI for Sound, Music, and Voice. Airwiggles Conference, Remote, June 10.
- K. Worrall. (2025). Demystifying Large Language Models: Understanding AI to better inform teaching practices. International SOLSTICE and CLT Conference, June 18-19.
- K. Worrall. (2025). Exploring the Impact of Aligning Teaching Material with Industry Roles in the Context of Games. International SOLSTICE and CLT Conference, June 18-19.
- K. Worrall. (2024). Crafting better generative music for games with deep learning. Audio Developer Conference, Bristol, UK, November 11-13.
- D, Kastbauer, S. Seflon, M, Dufour & K. Worrall. (2024). Artificial Intelligence and Machine Learning for Interactive Audio. Game Sound Conference, Burbank, CA, USA, October 28-29.
- K. Worrall. (2024). Crafting better procedural music systems with deep learning. Game Sound Conference, Burbank, CA, USA, October 28-29.
- K. Worrall, D. Peirera-Liebez, & E. Tan (2024). The Good, the Bad and the Ugly of Starting Up. Intelligent Games and Game Intelligence Conference, York, Sept 11-12.
- K. Worrall (2024). Phantom frames: Crafting an immersive pseudo-procedural music system for a PCG horror game jam. Play Again Symposium, Remote, May 3rd.
- K. Worrall and T. Collins. (2023). Factors affecting the Acceptance of Artificially Intelligent Music Systems. Intelligent Games and Game Intelligence Conference, London, Sept 13-14.
- K. Worrall and T. Collins. (2023). Designing Artificially Intelligent Music Technology for Adoption and Acceptance by Musicians. The Global Arts and Psychology Symposium 2, Remote, Sept 14-15.
- K. Worrall. (2023). Music AI: A tool in the box to assist game composers. The Game Audio Symposium, Leeds Beckett University, Leeds, UK, May 27th.
- K. Worrall, T, Farkas., P, Weir., A, Coronas. (2022). Procedural Audio in Narrative Game Design. Intelligent Games and Game Intelligence Seminar. Remote, Online.
- K. Worrall. (2022). Expressive Rendering: An ML-driven tool for Game Composers. Digital Creativity, Industry and Culture Conference, York, Sept 20th.
- K. Worrall, Z. Yin. and T. Collins. (2022). Cue-Free Express: Assumption-free expressive rendering of music for application in games. Intelligent Games and Game Intelligence Conference, York, Sept 6-7.
- K. Worrall. (2021) Remaking Music for Modern Sensibilities. North American Conference on Video Game Music, Remote, June 12-13.