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. I am fascinated by the different experiences games offer players, what those experiences are and how to quantify them. I am also excited by using diverse research methods to understand games.

University of York. Data scientist focusing on behavioral modeling in the Creative Industries.

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.

University of York. Ecological modeller trying to understand complex ecological systems, and develop quantitative solutions for real life problems. Especially interested in creative and playful ways to understand and communicate research to non-scientists.

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. 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.

Esport focused machine learning researcher, working to understand player decision making in professional esport competitions. Especially interested in presenting and visualising findings for broadcasting.

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

University of York. Application of AI and Machine LeAarning to problems in healthcare, particularly the diagnosis and monitoring of Parkinson’s, Alzheimer’s and related conditions. Co-founder and director of ClearSky Medical Diagnostics Ltd.

University of York. Using video games to probe psychology and cognitive health.

University of York. Interdisciplinary researcher using techniques from the physical sciences to explore interesting problems, mostly in biology. I am interested in any topics on the interface between science and gamification.

Queen Mary University of London. Automatically Building Better Algorithms – taking existing algorithms and improving them using machine learning and optimization techniques.

University of York. Dr Yadav’s research is focused on making the Internet of Things (IoT) and edge computing-based distributed systems resilient, reliable and robust.

University of York. Video game effects researcher interested in the long-term consequences of gaming. Particularly interested in the effects of video game monetisation