Bio

I am a fourth year PhD student in the Department of Statistics at the University of Oxford. My supervisors are Arnaud Doucet and Tom Rainforth.

During my PhD, I have worked on expanding the denoising diffusion methodology to a wider range of data types including discrete data and transdimensional data. I have applied these methods to scientific data including molecules and proteins.

Before coming to Oxford, I completed a Masters in Information Engineering at the University of Cambridge where I was supervised by José Miguel Hernández-Lobato.

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Posts

5 Mar 2025

An Introduction to Continuous Time Markov Chain Path Measures

How to think about densities on the path space and the Radon-Nikodym derivative

1 Oct 2021

Using Reinforcement Learning for Variational Inference

How to use RL to make inferences in sequential settings.