Description: Assistant Professor and EPSRC Fellow in Machine Learning & Statistics
I am currently Assistant Professor/Lecturer at UCL’s Department of Statistical Science. For the next 3 years, I will be 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, as well as an advisor for HopStair .
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 Bayesian inference, model misspecification and robustification strategies, computational challenges involving intractability, and variational methods. If you would like to learn more about my research, I have summarised some of my key contributions in the following
Prior to UCL, I was a doctoral candidate within the Oxford-Warwick Statistics programme (2016-2022) 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.