I am a Florence Nightingale Bicentenary Fellow in Statistics in the Department of Statistics at the University of Oxford.

Prior to this, I completed my PhD Student in Statistical Science at UCL and part of the Fundamentals of Statistical Machine Learning research group supervised by Jeremias Knoblauch and François-Xavier Briol. During my PhD, I was supported by the Bloomberg Data Science PhD fellowship.

My research focuses on developing robust and reliable statistical methods and understanding their properties. I’m particularly interested in probabilistic inference and uncertainty quantification, with a focus on Bayesian methods under model misspecification.