About

I am a computational neuroscientist. I completed my DPhil in Experimental Psychology at the University of Oxford, advised by Prof. Matthew Rushworth and Prof. Laurence Hunt.

I work at the intersection of mechanistic interpretability and cognition. I am interested in how biological and artificial systems learn internal models of the world and use them to guide flexible, adaptive behavior. My work combines computational neuroscience, reinforcement learning, and neural network modeling to understand learning, decision-making, and generalization.

This work often involves training neural networks on the same tasks that humans and other animals perform, and making their internal computations interpretable. Combining these models with behavioral and neural data, including ultra-high-field fMRI, makes it possible to identify the algorithms that the brain uses to learn efficiently and generalize across tasks.