MSc Artificial Intelligence, 2025
University of Edinburgh
BSc Theoretical Physics, 2024
University of Birmingham
I am a research assistant at the Group for Neural Theory at ENS in Paris. My interests are in learning dynamics, dynamical systems, and geometry-based methods for computational neuroscience and machine learning.
My masters thesis focused on applying a Riemannian geometric framework to understand neural representations across learning regimes in neural networks, under the supervision of Angus Chadwick and Arthur Pellegrino.
I am currently researching mode collapse in generative flow models, with a view of linking this to low-rank biases across training.