Artificial Intelligence for Games
Procedural Content Generation
General Game Playing
Game Analytics
Player Modelling

• Procedural Content Generation (3)

• Procedural Content Generation (1)

My research interests centre predominantly around the use of Artificial Intelligence, Machine Learning and Data Science techniques applied to games. This includes research that uses such techniques to play, create and analyse games; but also how we can utilise games as a testbed for developing solutions to real-world problems.

I am currently working as a Lecturer at Flinders University in South Australia, where I specialise in researching data-driven approaches for both procedural content generation and general game playing.

I have previously worked for the Digital Ludeme Project in Europe, which aims to improve our understanding of traditional games using modern AI techniques. This project can be summarised as a computational study of different games throughout recorded history, hoping to chart their historical evolution and explore their role in the development of human culture.

My PhD research focussed on implementing various AI techniques for physics-based video games and simulations. This involved developing intelligent agents that can reason and interact within a physical environment, as well as generating content that satisfies the physical limitations of such environments.