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.

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.