- Bayesian statistics
- Methodological and computational methods
- Bioinformatics and biostatistics
- Computational biology
- Time series analysis and econometrics
Two particular areas are of current interest. First, bioinformatics and computational/systems biology; in particualr functional genomics (specifically, the analysis of gene expression data), the spatial analysis of nucleus structure and conformation in cell biology (the analysis of confocal and other microscopy data) and metabolomics (the analysis of metabolite spectra); secondly, inference for stochastic processes in financial and other scientific applications. These topics have been the focus of my work for the past several years, but still offer much potenial for scientific investigation. I have developed close collaborations with researchers outside of statistics in these two areas.
I have supervised six students to completion of PhD (2001-2005); topics included Statistical Finance and Time series analysis, Statistical Genetics, Bayesian computation (Markov chain Monte Carlo and Sequential Monte Carol), Survival Analysis. I am currently the supervisor/co-supervisor of seven PhD students, including three joint supervisions outside the Department of Mathematics.
Research Student Supervision