I am an incoming PhD student at Rice University, under the supervision of Richard Baraniuk. I am interested in understanding the inner-workings of machine learning models with a focus on geometrical perspectives, such as the spline theory of deep learning. With the intention of improving the reliability and robustness of machine learning models.
Currently, I am exploring the tropical geometry of neural networks, with Dr Anthea Monod at Imperial College London. Tropical geometry provides a formal representation of neural networks which can be leveraged to rigorously explore the geometry of neural networks.
Broadly my research interests include the geometry of machine learning, neural network generalisation, interpretability, and generative modelling.
In my spare time I enjoy pondering about philosophy and the theory of mind. Moreover, I participate in sports including running, cycling and swimming.
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