I’m a PhD student in the Bayesian and Neural Systems group at the University of Edinburgh, supervised by Professor Amos Storkey in the School of Informatics and externally by Sam Devlin at Microsoft Research Cambridge.
My research is broadly focused on developing more sample efficient reinforcement learning approaches, via the use of self-supervised signals, offline data, world models and human feedback. I’m generally interested in improving the scientific understanding of deep reinforcement learning, bridging the gap between academia and industry, and the application of reinforcement learning to production software and real-world problems. I’m supported by a Microsoft Research Scholarship.
Currently PhD Candidate in Sample Efficient Deep Reinforcement Learning, 2025 (Expected)
University of Edinburgh
MSci in Theoretical Physics, 2016
University of Cambridge
MA in Natural Sciences - Physics, 2015
University of Cambridge