About me

I am a Clarendon Scholar and PhD researcher at the Department of Statistics, University of Oxford, supervised by Prof. Geoff Nicholls.

My research focuses on scalable probabilistic machine learning, at the intersection of:

• approximate and robust Bayesian inference: variational methods, generalised Bayes, and prediction-based inference
• flow and diffusion-based generative modelling
• applications to causal inference

Before my PhD, I worked as a ML research assistant for Prof. Stephen Hansen (UCL), and spent several years at the European Central Bank as a banking supervisor.