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.
I am generally interested in applied mathematics, specifically problems arising at the intersection of optimization, deep learning, geometry, and inverse problems.
Publications
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
(2025)
Author Correction: AI models collapse when trained on recursively generated data.
– Nature
(2025)
640,
E6
(doi: 10.1038/s41586-025-08905-3)
LIE ALGEBRA CANONICALIZATION: EQUIVARIANT NEURAL OPERATORS UNDER ARBITRARY LIE GROUPS
– 13th International Conference on Learning Representations Iclr 2025
(2025)
13401
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
– Proceedings of Machine Learning Research
(2025)
267,
13746
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
(2024)
AI models collapse when trained on recursively generated data
– Nature
(2024)
631,
755
(doi: 10.1038/s41586-024-07566-y)
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