Postdoctoral Researcher (2019–2022), Maastricht University, Netherlands. Primary data scientist for the Digital Ludeme Project; managed large-scale historical and computational datasets and contributed to general AI development.
Lecturer (2019–2022), Maastricht University. Taught programming and intelligent search & games; supervised undergraduate and master’s theses.
External Consultant (2020–2023), Australian National University. Co-authored grants and consulted on the 'Science of AI and Learning for Open-world Novelty' project.
Research Scientist (2015–2016), Human Interface Technology Laboratory NZ, part-time developer for QuiverVision.
Tutor (2014–2015), University of Canterbury, School of Computer Science and Software Engineering.
Background
Lecturer at Flinders University's College of Science and Engineering, Australia.
Research focuses on applying AI, machine learning, and data science to games—designing AI to play, create, and analyze games, and using games as testbeds for real-world AI solutions.
Serves as the Data for Decisions Lead in Flinders University's Factory of the Future Transdisciplinary Hub, exploring AI-powered scenario generation and real-time analytics for smart digital twins.
Member of IRL CROSSING, an international lab studying human-autonomous agent teaming, particularly the impact of deceptive and adversarial behaviors in multi-agent systems.
Previously worked on the Digital Ludeme Project in Europe, using AI to computationally study traditional games across human history and their cultural evolution.