Summary
Diego Liebana is a London-based Senior Lecturer and Co-Founder with 13+ years applying AI to games, combining academic rigor (PhD in AI) with hands-on industry experience as a game programmer and lead engineer. He has authored 100+ publications on topics like Monte Carlo Tree Search and Rolling Horizon Evolutionary Algorithms, served as general chair for IEEE CoG 2019, and published in top journals such as IEEE TOG and IEEE TEC. At Queen Mary University of London he teaches game development and Game AI, while his startup Tabletop R&D automates tabletop game playtesting by running thousands of simulated plays to produce actionable design analytics. Comfortable shipping production middleware (C++, Unreal integration) and research prototypes alike, he bridges deep research into practical tooling that shortens human playtesting cycles. Unusually for an academic, he has direct commercial credits on console and PC titles and a track record of translating cutting-edge planning methods into usable industry tools.
13 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Essex
MSc Computer Science, Artificial Intelligence, MSc Computer Science, Artificial Intelligence at Carlos III University, Madrid
English