I enjoy supervising research projects and regularly take up the supervision of MSc and PhD students.
At UCL, I supervise MSc students through the MSc Statistics, MSc Data Science and MSc Computational Statistics and Data Science programmes. If you are currently enrolled in one of these programmes, feel free to contact me about research projects which align with my research. Unfortunately I am not able to supervise any other MSc projects at this time (whether at UCL or not).
I am particularly interested in hearing from potential PhD students with a strong mathematical background and/or strong programming abilities. If you are interested in my research area, feel free to contact me by email to discuss opportunities at UCL or the Turing Institute. When getting in touch, please make sure to highlight your research interests and how these align with my own based on my recent publications.
Funding for international and UK-EU students is available through several routes. These include the UCL Statistical Science department fund, the UCL centre for doctoral training in Foundations of AI, the UCL centre for doctoral training in Financial Computing and Data Science, the UCL centre for doctoral training in Data Intensive Science and the Health Data Research UK/Turing PhD programme.
- George Wynne, PhD student in Statistics at Imperial College London, Department of Mathematics. Co-supervised with Dr. Andrew Duncan and Prof. Mark Girolami since September 2018.
- Charline le Lan, MSc Statistics thesis (Imperial College London, 2018), title: “Neural Networks for Variance Reduction in MCMC”. Now PhD student at the University of Oxford under the supervision of Prof. Yee Whye Teh.
- Xiaoyue Xi, MSc Statistics thesis (Imperial College London, 2017), title: “Bayesian Monte Carlo in Computer Graphics”. Received best MSc thesis award. Now PhD student at Imperial College under the supervision of Dr. Oliver Ratmann.