< Back Dr Tom Collins University of York Supervisor Tom runs the Music Computing and Psychology Lab in the Music Department at University of York, and so makes a good supervisor for game audio projects, but he has wider interests in media (e.g., podcasts) and sport (especially football), and in sport how AI can be leveraged to enhance analytics that lead to new insights into, and competitive advantages in, individual and team performance. Tom is internationally recognised for his work in automatic music generation, web systems for music, and information retrieval. His research has been featured by the BBC (BBC Click), The Times, and Financial Times among others. Tom is interested in supervising students who have a background in at least one of the following areas, and who are interested in acquiring knowledge of the others: Data science and machine learning (especially deep learning); One of music, podcasts, or sport; Software engineering (especially full-stack JavaScript development). Email tom.collins@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Esports Game AI Game Audio Game Data Player Research - Previous Next

< Back Prof. William Latham Goldsmiths iGGi Co-Investigator Supervisor William Latham is well known for his pioneering organic computer art created in the 80s and early 90s whilst a Research Fellow at IBM in Winchester. In 1993 he moved into Rave Music setting up a small studio in Soho, creating album covers, stage designs and videos for bands including The Shamen for three years. He then worked for ten years as Creative Director and CEO of a large computer games development company, with studios in London and Brighton, creating PC and console games published by Vivendi Universal, SONY and Warner Bros. Among the games he has produced were Evolva for Virgin Interactive, and the hit game The Thing for Vivendi Universal for Xbox, PlayStation, PC. based on the famous John Carpenter horror movie set in Antarctica. In 2007, he became a Professor in Computing at Goldsmiths, where he works on research projects with Imperial College, York University, and the Oxford Weatherall Institute. His recent "Mutator VR" Sci-Fi art experience developed at Goldsmiths for the HTC Vive has been exhibited to much acclaim in galleries and museums Shanghai, Venice, Kyoto, Dusseldorf and St. Petersburg. William was an undergraduate student at Christchurch College, Oxford University, and a postgraduate student at The Royal College of Art. His book on interactive evolutionary design, “Evolutionary Art and Computers” is cited as a leading publication in this domain. He is Director of SoftV Ltd, a company which develops Neuroscience Patient mobile Games Apps for the NHS in Unity, and is a co-founder of London Geometry Ltd. Email w.latham@gold.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Creative Computing Immersive Technology - Previous Next

< Back Dr David Zendle University of York Supervisor David Zendle is an active researcher into the effects of both video games and gambling, and is the author of several key references on the topic of video game monetisation. His most well-known publications deal with the potential effects of loot boxes. His recent work focuses on understanding the diversity of ways that video game play impacts wellbeing, and involves the analysis of large-scale datasets of player behaviour and spending. David is an academic affiliate of the Behavioural Insights Team and holds a research position within the NHS. He is particularly interested in building evidence-based policy in the domain of video game regulation, and has provided oral testimony on video game effects to a variety of government investigations across the globe. David is particularly interested in supervising students with an industry, economics, legal, or behavioural sciences background. He is interested in work on the following topics: The long-term effects of video game play (both positive and negative) Video game monetisation Video game regulation and policy Dark video game design Research themes: Game Analytics Game effects Game policy Email david.zendle@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Game Data Player Research - Previous Next

< Back Dr Alan Pedrassoli Chitayat University of York iGGi Alum Available for post-PhD position Alan is a researcher that focuses on audience experience within esport broadcast. His Machine Learning background allows him to extract complex patterns from game and game related data in order to derive meaningful insights that can be utilised in broadcast. Having worked in the esport industry, both as a software engineer as well as researcher, Alan has experience with both technical and research problems. His research aims to explore the factors that improve the audience experience within esports. This is catered to esport broadcast of all levels, from highly produced professional tournaments to regular streams by content creators and it could be in the form of: Measuring and representing different forms of audience engagement. Exploring the different ways to visualise and utilise Machine Learning to enhance and integrate existing broadcast pipelines. Investigating how community-led narratives can be generated through data. Email alan.pchitayat@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisors: Dr James Walker Prof. Anders Drachen Featured Publication(s): Breaking the Acoustic Barrier: An Applied Game for Supporting Spatial Audio in Mobile Extended Reality Experiences How could they win? An exploration of win condition for esports narratives in Dota 2 AI vs. the Algorithm: Measuring success on Twitch Applying machine learning to enhance esport broadcast narratives Beyond the Spotlight: Co-Designing AI for Theatre Audience Communication How Could They Win? An Exploration of Win Condition for Esports Narratives Applying and Visualising Complex Models in Esport Broadcast Coverage From Passive Viewer to Active Fan: Towards the Design and Large-Scale Evaluation of Interactive Audience Experiences in Esports and Beyond Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analitics Data-Driven Audience Experiences in Esports Metagaming and metagames in Esports What are you looking at? Team fight prediction through player camera Echo Suite of Software (Showcase Brochure) Automatic Generation of Text for Match Recaps using Esport Caster Commentaries WARDS: Modelling the Worth of Vision in MOBA's DAX: Data-Driven Audience Experiences in Esports Themes Design & Development Esports Game Data - Previous Next

< Back Prof. Marian Ursu Goldsmiths Supervisor Marian Ursu has a first degree in Computer Science, a PhD in Artificial Intelligence, and has worked over the past twenty years in the development of new forms of mediated expression and interaction, in the space of convergence of digital technology with creative practice. He worked at Goldsmiths, University of London, pioneering “creative computing”, a term denoting a fundamental link between digital technologies, the arts and media. At York, he led the development of the Interactive Media subject area in the department of Theatre Film Television and Interactive Media, inherently interdisciplinary, building on Computer Science, User Experience Design, Media Practice and Cultural Studies. He is a co-founder and the Director of the Digital Creativity (DC) Labs ( https://digitalcreativity.ac.uk ), a centre of excellence in impact-driven research in creativity for games, narrative media and the rich space of media convergence that lies in between, and Co-Director of XR Stories ( https://xrstories.co.uk ), a creative industries partnership working across film, TV, games, media arts, heritage, advertising and technology to champion a new future in storytelling, in which he leads on Research and Development. His personal research is situated in the area of narrative experiences in scree media – shared screens (film, TV), personal screens (games, social media), stories in VR, XR narrative experiences – drawing from and building on established narrative art-forms and media including film and TV, radio, theatre, and opera. One of his key research objective is to explore the creative process that emerges in dialogue between humans and machines (AI). On one hand, this is necessary for the authoring of more complex narrative experiences that truly exploit the affordances of interactive and immersive digital media technologies. On the other hand, this is a yet poorly untapped space of opportunities, potentially conducive to significant findings. He is particularly interested in supervising students interested in exploring creativity in dialogue with AI and/or the development of novel narrative experiences, in topics including: Conceptualising the space of interactive storytelling Developing authoring tools and techniques for interactive storytelling Creating new forms of narrative engagement Analysing the concept of creativity in interactive media which emerges in conversation with AI Research themes: Narrative Games; Narrative Experiences Storytelling with Convergent Media Object-Based Media Computational Creativity Live mediated experiences (performance, sports, esports) Entertainment media and mental health Games and Theatre Email marian.ursu@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Creative Computing Player Research - Previous Next

< Back Dr Kyle Worrall University of York iGGi Alum Kyle is a final-year PhD researcher at the Centre for Doctoral Training in Intelligent Games and Game Intelligence (IGGI) at the University of York, where his work centers on pioneering deep learning-driven music tools for video game composers. In addition to his research, Kyle is a Lecturer in Games Programming at Edge Hill University, where he encourages the next generation of game developers to appreciate the critical role of audio in interactive experiences. Beyond academia, Kyle is the Founder of Cocreative Technology, an ethical AI music startup on a mission to empower musicians with cutting-edge, AI-driven tools that amplify creative expression, combat burnout, and elevate the emotional depth of game soundtracks. Kyle's research explores how deep learning and generative AI can enhance the creative workflow of video game composers, and improve the experience of players by reducing musical repetition. His work spans symbolic music generation, and real-time adaptive music systems, aiming to improve the emotional expressiveness and of game audio. His recent publications focus on deep learning models for interactive music authoring, expressive performance modelling, the ethical considerations in AI-assisted creativity, and the integration of neural networks with procedural music generation in games. By combining symbolic AI and audio signal processing, Kyle develops tools that support composers in ideation, iteration, and adaptive composition, while remaining transparent and musically intuitive. An experienced speaker, Kyle has presented at leading industry events, including Airwiggle's AirCon 2025, Game Sound Con 2024, Audio Dev Con 2024, the Global Arts and Psychology Symposium 2023, the Play Again Symposium 2024, and the Digital Creativity, Industry and Culture Conference 2022. He is also a regular contributor to the IGGI Conference (2020–2024), and has been featured in TechCrunch, Dazed, The Story of the Sound, and The Audio Programmer podcast, as well as featured on a panel with leaders in game audio from Meta and Sony. Email kyle.worrall@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisors: Dr Jon Hook Dr Tom Collins Dr Josh Reiss Featured Publication(s): Expressive Performance Rendering for Reduced Music Repetition in Video Games RenCon Report: Cue-Free Express & Pedal Final Fantasy VII Remake Music Redesign for Evolved Expectations Across Console Generations Considerations and Concerns of Professional Game Composers Regarding Artificially Intelligent Music Technology Comparative evaluation in the wild: Systems for the expressive rendering of music Reflection Across AI-based Music Composition The Ethics of Creative AI Themes Creative Computing Game Audio https://www.youtube.com/watch?v=m5vCJCB2-2A https://www.youtube.com/watch?v=AllYuKKxks8 Previous Next

< Back Gorm Lai Goldsmiths iGGi PG Researcher Inspired by the works of Karl Sims and William Latham as well games such as a Spore and No Man's Sky, Gorm's main work is focused on using artificial intelligence and machine learning to generate creatures for use in video games. Combining this with his background as a virtual reality pioneer, his full doctorate is looking into how mixed-initiative co-creative interfaces in vr can assist in creating procedural generated creatures for use in video games. As a stalwart of the game development community, Gorm ran the Danish chapter of the International Game Developer Association (IGDA) for 5 years, started the London Indie Game Developers meetup group which currently features almost 3000 members, co-founded the Nordic Game Jam, as well as the Global Game Jam. The Global Game Jam has been recorded into the Guinness Book of World Records, and has more participating countries than the Winter Olympics. Gorm is a games industry veteran who has worked on 17 commercial video games since 2004, and has spoken at numerous games industry conferences such as GDC, Nordic Game & Develop Brighton. Gorm is a student at Goldsmiths, University of London, where is he is supervised by William Latham and Frederic Fol Leymarie. Email lai.gorm@gmail.com Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisor(s): Prof. William Latham Featured Publication(s): Formal Constraints and Creativity: Connecting Game Jams, Dogma ’95, the Demo Scene, OuBaPo, and Renga poets What Is a Game Jam? The Dark Side of Game Jams On Mixed-Initiative Content Creation for Video Games Two decades of game jams Virtual Creature Morphology‐A Review Towards Friendly Mixed Initiative Procedural Content Generation: Three Pillars of Industry Introducing: the game jam license Trends in organizing philosophies of game jams and game hackathons The global game jam for teaching and learning Gplayer A compression method for spectral photon map rendering Themes Creative Computing Design & Development Game AI - Previous Next

< Back Tamsin Isaac University of York iGGi PG Researcher Tamsin has been a lifelong gamer ever since receiving her first Game Boy and has long been fascinated by how people engage with games emotionally, socially, and behaviourally. She joined the iGGi CDT in 2023 after completing a BSc and MSc in Psychology at the University of Plymouth, where she developed a growing interest in player motivation, disengagement, and live-service game design. Her PhD research focuses on limited-time events (LTEs) in digital games—temporary content designed to encourage engagement and re-engagement in live-service games. Through this work, she explores how LTEs shape player behaviour, routine, anticipation, disengagement, and return play across platforms and genres. Tamsin’s research combines large-scale content analysis with qualitative diary-and-interview methods to investigate both the structure and lived experience of LTEs. She is currently developing a cross-platform taxonomy of LTEs using data from over 2,600 Steam and Google Play games, alongside player-focused research exploring how individuals decide whether events are “worth” participating in during everyday play. Her work aims to support more ethical, sustainable, and player-friendly approaches to live-service game design by helping researchers and developers better understand how event structures influence player experience and long-term engagement. She is open to collaboration opportunities with game studios interested in live-service systems, player behaviour, engagement design, and event analysis using player data or design insights. When not researching or analysing games, Tamsin enjoys baking, reading, playing cosy indie games, and quietly grinding dailies. Email tamsin.isaac@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Supervisor: Prof. Paul Cairns Themes Applied Games Design & Development Player Research https://www.youtube.com/watch?v=n32ngtGYNQ8 Previous Next

< Back Prof. Anders Drachen Supervisor Anders Drachen, PhD, (born 1976) is a Professor at the Department of Computer Science, with Digital Creativity Labs and Weavr at the University of York (UK). His work in games research is focused on user behavior, user experience and audience engagement and the application of data science, information systems modelling, business intelligence, design and Human-Computer Interaction in these domains. His research and professional work are carried out in collaboration with companies across the Creative Industries, from big publishers to indies. He is recognized as one of the most influential people in his domains of work and have authored over a hundred publications with international colleagues across industry and academia. Having lived and worked on four different continents, Anders Drachen has had the mixed pleasure of fending off three shark attacks in Africa and Australia. He is also the youngest Dane in history to publish a cooking book – dedicated to ice cream. Research themes: Data Science, Analytics, Machine Learning in Interactive Media Big Data, behavior- and social media analytics in the Creative Industries Data Mining and Business Informatics in the Creative Industries Data-Driven Storytelling and Audience Engagement Games User Research and User Experience in Games Data-Driven Design and Development Human-Computer Interaction Esports and Sports Analytics Behavioral/Market Analytics and Business Intelligence Entrepreneurship in the Creative Industries Blockchain and Cryptocurrencies Email anders.drachen@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Design & Development Esports Game Data Player Research - Previous Next

< Back Dr Søren Riis Queen Mary University of London Supervisor Søren Riis has more than 15 years of experience in teaching computability, complexity and the art of creating fast efficient algorithms. He has a strong interest in reinforcement learning and generative adversarial networks (GANs) related to strategy games. Riis has been actively involved in computer chess, and is listed on the wiki of influential people in chess programming https://www.chessprogramming.org/ Søren Riis is a strong player of strategy games including Chess, Shogi, Go and Bridge at an internal level. He has worked as a consultant for an AI company and is involved in applying deep learning for the card game of bridge. For the last 5 years he has been working on technical projects related to machine learning and reinforcement learning. He has practical experience and interest in scientific computing on super computers, and in creating C and C++ libraries to run from within python. Søren Riis is particularly interested in supervising students with a strong technical and/or maths background. Aptitude for strategy games with an interest in one the following ares is an advantage. Games requiring inductive reasoning combined with exploration. Hidden identity games (Werewolf, Resistance/Avalon, Mafia etc) Using GANs to sample realistic scenarios during gameplay Deep Reinforcement Learning in multi-agent strategy games Building and analysing games for investigating evolution of communication. Research themes: Game AI Game Design Game Creativity Games and mathematics Email s.riis@qmul.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Creative Computing Game AI Game Data - Previous Next

< Back Dr Henrik Siljebråt Goldsmiths iGGi Alum Henrik has a background in IT/DevOps and a Masters in Cognitive Science from Lund University. Based on established neurobiological correlates of reinforcement learning (RL), I investigate animal learning and decision making using cognitive modeling techniques, such as probabilistic programming and machine learning. Animals somehow manage to create useful representations of incoming sensory information, representations then used for learning and decision making. How these representations of states of the world are integrated into task structure and models of the world is an open question, which I investigate using behavioural experiments with humans and bumblebees and modelling said behaviour using RL combined with hidden state models for representing states and task structure. The potential findings of these experiments have promise to not only elucidate the workings of the animal brain but also provide valuable contributions to artificial intelligence, where improved models of state representations could vastly improve data efficiency and generalizability over current generation systems. Please note: Updating of profile text in progress Email h.siljebrat@gold.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Featured Publication(s): On State Representations and Behavioural Modelling Methods in Reinforcement Learning The Effect of State Representations in Sequential Sensory Prediction: Introducing the Shape Sequence Task Towards human-like artificial intelligence using StarCraft 2 Themes - Previous Next

< Back Dr Dan Franks University of York Supervisor Dr Franks is an interdisciplinary researcher and data scientist interested in AI and machine learning. He is experienced in developing and applying evolutionary computation and machine learning methods to understanding behaviour. He is an internationally recognized leader in interdisciplinary research, has published in top journals such as Science and PNAS. Some of his papers are in the top 1% of all papers for media coverage (altmetric), and his work is regularly covered by The New Scientist, National Geographic, Wired, The BBC, The Guardian, The Times, among others. As Reader in the York Centre for Cross-disciplinary Systems Analysis, Dan works on applying AI, machine learning, and agent-based modelling, to problems in other disciplines. Particular interests involve the development of machine learning methods for creating intelligent AI and for understanding complex systems. Research themes: Game AI Game Analytics Email daniel.franks@york.ac.uk Website LinkedIn Mastodon BlueSky GitHub Other Link Themes Game AI Game Data - Previous Next