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)
Learning from data with structured missingness
Mitra R. et al, (2023), Nature Machine Intelligence, 5, 13 - 23
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