Professors of Biostatistics in Genomics
I have a broad interest in the theory, methods and applications of statistics and statistical modelling. My background and beliefs lie in Bayesian statistics which provides a unified framework to stochastic modelling and information processing. I am particularly interested in pattern recognition and nonlinear, nonparametric methods.
The epidemiological impact of the NHS COVID-19 App.
Wymant C. et al, (2021), Nature
Improving statistical power in severe malaria genetic association studies by augmenting phenotypic precision
Watson JA. et al, (2021)
Modelling the impact of rapid tests, tracing and distancing in lower-income countries suggest optimal policies varies with rural-urban settings
Jiang X. et al, (2021)
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels
Willetts M. et al, (2020), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, 5286 - 5295
Epidemiological changes on the Isle of Wight after the launch of the NHS Test and Trace programme: a preliminary analysis.
Kendall M. et al, (2020), The Lancet. Digital health, 2, e658 - e666