I am a Lecturer (equivalent to Assistant Professor) in the Department of Statistical Science at University College London, and a Visiting Researcher at The Alan Turing Institute, the UK’s national institute for Data Science and AI, where I am affiliated to the Data-Centric Engineering programme.

My research interests are at the interface of computational statistics, machine learning and applied mathematics. I work on methodology for statistical computation and inference for large scale and computationally expensive probabilistic models. In particular, I am interested in the development of algorithms for numerical integration and sampling, as well as methodology for inference with intractable models. In my research, I like to use a variety of tools including kernel methods, Monte Carlo methods, stochastic process theory and Stein’s method.

Prior to UCL, I was a PhD student on the joint centre for doctoral training between the Departments of Statistics at Warwick and Oxford, then spent a year first as research assistant in the Department of Mathematics at Imperial College London, then as a research associate in the Department of Engineering at the University of Cambridge.

For more details on my research, see my publications page or my google scholar profile. Alternatively, you can catch me at one of my presentations. For supervision opportunities, see also this page.