Videogame Correlates of Real-Life Cognitive Traits

Identifying the role of attention and cognition within videogame immersion using neuroimaging methods

Using human data to create stronger opponents in Real Time Strategy Games

Queen Mary University of London. Researcher in music information research, new interfaces for musical expression and music perception. Interested in combining audio and visual modalities with AI for new game and creative experiences.

Abstraction-Based Monte Carlo Tree Search. (Industry placement at PROWLER.io) Monte Carlo Tree Search is a popular artificial intelligence technique amongst researchers due to the remarkable strength by which it can play many games. This technique was prominently used as the basis for AlphaGo, the AI by Google DeepMind that became the first of its kind to beat professional human players at the game Go....

University of York.  Researches transformations in technology and media and how they reshape society and culture. This work focuses on the social power of algorithms and the politics of data and metrics.

AutoGraff: A Procedural Model of Graffiti Form. (Industry placement at Media Molecule) The purpose of this study is to investigate techniques for the procedural and interactive generation of synthetic instances of graffiti art....

Use of Artificial General Intelligence techniques, with particular focus on Statistical Forward Planning, for automatic playtesting through the exploration of the skill/strategic space of the game.

Broadening and deepening emotional engagement with an emphasis on mechanics and systems. (Industry placement at Bossa Studios) Video games, with their unique properties such as interactivity, agency, control mechanics, feedback loops and gameplay systems, have the potential to impart deep emotional experiences – some already do of course. However, study of this emotional engagement remains lacking....

University of York. Music and audio artificial intelligence, encompassing analytic and generative applications, for use in games and other interactive interfaces.

Queen Mary University of London. Computational Creativity researcher working on getting AI software to act creatively in an autonomous fashion, with applications to procedural content generation, whole game design, music, visual art, design, mathematics and software engineering.

Queen Mary University of London. Discovering cause-and-effect relations from data with Bayesian network structure learning algorithms.

Queen Mary University of London. Research leader seeking to understand how research can positively impact the games industry and wider society. Interested in using games/creativity/AI to determine promising future directions for games/creativity/AI research.

Curiosity-driven PhD Candidate in Deep ((Multi-Agent) Reinforcement/Imitation) Learning. Especially interested in (Natural) Language Emergence & Grounding for Human-Machine Cooperation.

Queen Mary University of London. Interactive Entertainment and Intellectual Property Law scholar and Video Games enthusiast. Especially interested in the relationship among creativity, interactivity, technology and the law.

I’m interested in generating nonverbal behaviour models for social interactions in VR that builds into an emphatic and engaging virtual human (NPC).

Queen Mary University of London. Academic interested in applying gamification for human-machine interactive systems, including robotic-based rehabilitation.

University of York. Interdisciplinary researcher and data scientist working on evolutionary and bio-inspired algorithms, machine learning, and biological modelling.

PhD student working on applying rolling horizon evolutionary algorithms to general video game playing, for online planning in video games.