From 10/2024, I will be Associate Professor at UCL’s Department of Statistical Science. Until 07/2025, I am fully bought out of teaching and administrative duties with an EPSRC research fellowship to continue my work on Optimisation-centric Generalisations of Bayesian Inference. I am also a visiting researcher at the Alan Turing Institute’s Data-Centric Engineering Programme, and scientific advisor for HopStair and Idoven. Additionally, I provide technical advice to the legal experts at FoxGlove to ensure that machine learning and AI are used for the common good, and work as a statistical expert witness in high-profile legal cases.

If you would like to learn more about my research, I have summarised some of my key contributions in the following talk. My research revolves around extending the paradigm of Bayesian inference to cope with the challenges posed by modern large-scale data, simulator models, and machine learning techniques. In this context, I am particularly interested in generalised and Post-Bayesian inference, model misspecification and robustification strategies, computational challenges involving intractability, and variational methods.

Prior to my current position, I was a Lecturer (07/2022-10/2024) and Biometrika Fellow in (10/2021-07/2022), also based at UCL. Before that, I was a doctoral candidate within the Oxford-Warwick Statistics programme (2016-2021) as well as the first UK-based Facebook Fellow (2020/2021). During that time, I also worked with the research arms of Amazon (2019) and DeepMind (2021). I remain eager to stay in close contact with industry, and am very open to being approached by potential industrial partners for both academic and non-academic work.

Download my (very likely outdated) resumé.