Portfolio
Selected projects demonstrating my work across AI, simulation, games and research.
TAG Framework
AI-powered framework for playtesting tabletop games using autonomous agents and simulation.
Problem
Tabletop games are difficult to analyse at scale because physical playtests are slow, expensive and difficult to reproduce.
Solution
Designed and implemented a modular Java framework supporting simulation, AI agents, game state representation and automated analytics.
Impact
- £120k+ Innovate UK funding
- Multiple research collaborations
- Published in international conferences
General Video Game AI Research
Research into general game-playing agents using Rolling Horizon Evolutionary Algorithms.
Problem
General game playing requires AI capable of solving previously unseen games.
Solution
Developed search algorithms, evaluation functions and optimisation techniques for planning under uncertainty.
Impact
- PhD research
- Multiple journal publications
- International collaborations
Tabletop R&D
Co-founded a company developing AI technologies for tabletop games.
Problem
Designers lack scalable methods for balancing and testing tabletop games.
Solution
Applied simulation, AI and analytics to support modern tabletop design.
Impact
- Co-founder
- Research funding
- Industry partnerships