Staff

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.

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.

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.

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.

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.

Queen Mary University of London. Game AI researcher with a focus on computational game design: how can computers help design video games? Interested in computational creativity, procedural content generation, and applications of AI in game development.

Queen Mary University of London. Research combines machine learning and motivational psychology. Work on technology for behaviour change, well being, and improving communication.

University of York. Associate Professor working in audio for virtual and augmented reality, immersive audio, virtual acoustics and spatial audio.

University of York Robotics and AI researcher working on applied games, creative computation for healthcare and rehabilitation, trying to push the limits of what’s possible in these areas. Especially interested in designing with mixed-reality interfaces and embedding novel machine learning mechanisms for physical and cognitive behavioral changes.

Queen Mary University of London.  AI and Games, statistical forward planning (e.g. Monte Carlo Tree Search), efficient optimisation, procedural content generation, automated game design, reinforcement learning, evolutionary algorithms, game AI for real-world decision making.

Queen Mary University of London. Game AI researcher focused on the field of game AI players by means of Statistical Forward Planning (Monte Carlo Tree Search, Rolling Horizon Evolutionary Algorithms) and Forward Models for modern games.

Queen Mary University of London. Computational linguistics (a.k.a. natural language processing), with a particular interest in informal, conversational language and what it tells us about people’s mental states.

Queen Mary University of London. Paulo is particularly interested in studying three major challenges that must be addressed efficiently by reinforcement learning agents: learning state representations under partial observability; exploring systematically; and planning under uncertainty.

Queen Mary University of London. Leads the audio engineering research team; exploring disruptive innovations for the creative industries; creating, investigating and delivering transformative technologies for audio production and sound design.

Queen Mary University of London. Internationally known mathematician with top level expertise in Mathematical Logic, Bounded Arithmetic, Complexity Theory, Representation Theory, Network Coding and Information Theory.