I’m a Member of Technical Staff / Co-Founder at General Intuition. We work on foundation models that require deep spatial and temporal reasoning. Our models are built on the billions of hours of gameplay recorded with Medal, with applications to the video game industry and beyond.
Before starting General Intuition, I was a PhD student working on efficient reinforcement learning approaches and world models in the Bayesian and Neural Systems group at the University of Edinburgh, lucky to be supervised by Professor Amos Storkey in the School of Informatics as well as Sam Devlin from the Game Intelligence Team at Microsoft Research Cambridge. I was supported by a Microsoft Research Scholarship.
PhD in Generating Environments and Pre-Training Agents for Efficient Reinforcement Learning, 2025
University of Edinburgh
MSci in Theoretical Physics, 2016
University of Cambridge
MA in Natural Sciences - Physics, 2015
University of Cambridge
PhD Candidate in Efficient Reinforcement Learning and World Models.
Thesis: Generating Environments and Pre-Training Agents for Efficient Reinforcement Learning