I am a researcher at Huawei Noah’s Ark Lab, working in the Reinforcement Learning group on world models, mechanistic interpretability, and continual learning under the guidance of Prof. Jun Wang and Dr. Zafeirios Fountas. My work is broadly about making learning systems more efficient, more adaptive, and better able to reason over long horizons.

I studied Computational Statistics and Machine Learning at UCL. Before that, I did a BSc in Theoretical Physics, which is roughly when I started getting more interested in computers than physics. After my BSc, I spent three years working as a software engineer, first in laser technology R&D and then on event-driven trading systems for prediction markets.

Broadly, I want to build data-efficient models that can reason, plan, and adapt beyond their training distribution. My main interests are efficient ML systems, continual learning, mechanistic interpretability, and safe long-horizon AI.

Outside of work, I enjoy coding, F1, board games, and art. If you’re interested in connecting, contact me below. I am always open to discussing new projects, research ideas, or collaborations.