I am a second-year DPhil student at Oxford and part of the StatML CDT. Previously, I completed a BSc in Computer Science and Statistics at the University of Toronto.

My research centers on generative modelling and sampling, with a focus on bridging various fields. I’m particularly interested in using techniques from differential geometry, optimal transport, probability, and statistical learning theory to deepen our understanding of the strengths and limitations of algorithms in these areas. I also have a broader interest in machine learning theory.