Before coming to Oxford, I completed a BSc in mathematics where I focused on probability and stochastic processes. I did my MSc in mathematical sciences here at Oxford, where I studied stochastic analysis and machine learning, and wrote my dissertation on the theory of diffusion models.

My research interests include causal inference, domain adaptation, and transfer learning theory, with a focus on developing theoretical understanding. More broadly, I’m interested in foundational questions in statistics and machine learning that draw on areas such as high-dimensional probability, stochastic processes, and graphical models, and that benefit from rigorous mathematical analysis. I am also interested in related topics such as robustness and the theoretical aspects of data augmentation and data selection.