About
Research profileI am Professor of Statistics at the University of Cambridge, based in the Statistical Laboratory and the Department of Pure Mathematics and Mathematical Statistics. I am also a Fellow of Magdalene College.
My research is in Bayesian statistics and statistical computation, with interests including Bayesian nonparametrics, Monte Carlo methods, Markov models, reinforced random walks, and modern statistical machine learning. I am especially interested in methods motivated by problems in biology, biophysics, genomics, molecular science, and drug discovery.
I am a co-director of CHIMiRA, the Cambridge Hub for Innovative Mathematics in Research and Applications, which connects mathematical research with challenging problems from academia, industry, government, and the third sector.
Bayesian nonparametrics
Monte Carlo methods
Markov models
Reinforced random walks
Molecular machine learning
Computational biology
Students
Current and formerCurrent PhD students
Former PhD students
- Miguel García-Ortegón — Isomorphic Labs
- Kumar Thurimella — physician-researcher resident at Stanford
- Sam Power — University of Bristol
Teaching
Cambridge coursesI have taught a range of statistics and machine-learning courses in Cambridge. Current students should consult Moodle for course websites, notes, and other teaching materials.
- Part III Bayesian Modelling and Computing
- Part III Modern Statistical Methods
- Part IB Statistics
- Part II Principles of Statistics
- Part II Statistical Modelling
- Part II Mathematics of Machine Learning
In 2026–27: I am teaching Part III Statistical Learning in Practice and Part II Principles of Statistics.
Publications
Recent workFor a complete and up-to-date list, see my Google Scholar profile, sorted by most recent publications.