I am a PhD student under supervision of Professor Carola Schönlieb at the Cambridge Image Analysis Group within DAMTP. I am also a member of the Cantab Capital Institute for the Mathematics of Information and the Maths4DL programme.

Over the summer 24, I am an ML Research Intern at Apple, working on model compression.

I am interested in research in a wide variety of areas of applied mathematics, ranging from inverse problems to machine learning, optimisation, theoretical inflationary cosmology and others. So far in my PhD I have focused on the areas of geometric deep learning and physics informed machine learning. More generally I am interested in application of geometry and optimization based techniques to analyze and improve deep learning.

I am currently looking for summer students in the areas described above and if any of those topics sound interesting - reach out, I am always happy to chat!