Hello! I am an incoming CS PhD student at the University of Oxford, supported by the Clarendon Fund. I obtained my undergraduate degree at the University of Waterloo studying Software Engineering with a joint major in Combinatorics and Optimization. Previously, I was a Research Scientist intern at NVIDIA’s Toronto AI lab,
Layer 6 AI, and Akasha Imaging.
Extending the manifold hypothesis to support natural image data lying on a union of manifolds with varying intrinsic dimension.
Show increased performance in generative modelling and image classification tasks by designing models with an inductive bias for this structure.
Investigating how the intrinsic dimension of activations in deep neural networks are affected by regularization, correlated with improved validation performance and are coupled with the effects of sudden generalization (grokking).