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 genetic architecture of changes in adiposity during adulthood
Venkatesh SS. et al, (2023)
Multivariate phenotype analysis enables genome-wide inference of mammalian gene function.
Nicholson G. et al, (2022), PLoS biology, 20
Interoperability of statistical models in pandemic preparedness: principles and reality.
Nicholson G. et al, (2022), Statistical science : a review journal of the Institute of Mathematical Statistics, 37, 183 - 206
Bayesian imputation of COVID-19 positive test counts for nowcasting under reporting lag
Jersakova R. et al, (2022), JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS
Author Correction: Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.
Willetts M. et al, (2022), Scientific reports, 12