Staff

University of York. HCI researcher interested in new interactive media content forms and tools to support their creation. Particularly interested in data-driven experiences and how games and other media forms can help the public understand and benefit from data.

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. I’m a researcher working on 3D face reconstruction and face analysis in images and videos using 3D face models. In the area of games, I am in particularly interested in creating 3D face avatars of players for immersive playing and social experiences. I am also interested in using face analytics for professional e-sports.

University of York. Human Computer Interaction researcher with interests in understanding learning as a part of gameplay, complex player experience, and using games for applied purposes e.g. education or wellbeing.

Queen Mary University of London. My main interest is in Cognitive Robotics: building intelligent robots by taking inspiration from humans, and validating theories of human cognition by testing computational models on robots.

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

University of York. Weird x Play. Postdisciplinary researcher of playful/placeful/radical.  Not good at summaries.

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.

University of York. Researcher on sound design with a focus on accessibility as well as acoustical heritage.

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.  Linguist and discourse analyst who employs multimodal, mediated discourse analytic and ethnographic approaches to explore the discursive construction of embodied identity in polycentric and polymedia contexts, particularly interested in embodiment and identity performance in digitally mediated environments.

University of York. Design researcher focusing on the roles of traditional storytelling and engagement in digital contexts. Particularly interested in environmental design and speculative design processes and approaches.

University of York. I am an experimental psychologist using games and virtual environments to study emotions and social interaction. I am particularly interested in human interactions with autonomous systems and cognitive performance under threat.

University of York. Using games to better understand the limitations of cognition, especially working memory, how distractors are ignored and how these change across the lifespan, and with cognitive training.

University of York. Researching virtual acoustics for environmental sound, architectural acoustics and immersive XR content, including the compositional and aesthetic aspects of immersive sound, acoustic modelling techniques and the acoustics of heritage spaces.

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.