About my research interests
My area of research is broadly at the interface between systems biology and statistics where I am interested in developing realistic stochastic models alongside Bayesian statistical methodologies that allow us to infer these models from biological and medical time series data. Often the modeling side involves very interesting non-linearities and stochastic processes giving rise to statistical methodologies that are computationally challenging. I am in particular interested in the modelling of oscillatory phenomena in biology (epidemics, gene expression, molecular clocks, etc) combined with the analysis of temporal and/or spatio-temporal data (from single cells to meta-populations) and have worked on applications in epidemiology (dynamics of infectious diseases), on analytical population dynamics in ecology, and on modelling and inference for the stochastic transcriptional dynamics of single genes and transcriptionally interacting genes (including inference for small networks of genes).
My collaborations also include addressing statistical questions in chronobiology and circadian rhythm with collaborators in the biological sciences and medicine. In collaboration with members of the Chronotherapy group at Warwick Medical School, Warwick Systems Biology and INSERM France, I am developing statistical methods and models for large data sets of biomarkers on circadian oscillations, such as actigraphy data, with the aim of using these for personalized medicine and treatment of cancer patients in their home, as well as basic research in chronobiology.
Current PhD students:
Postdoctoral Collaborators on Research Grants:
Qi Huang, Giorgos Minas, Hiroshi Momiji.
Collaborators in Systems Biology and Medicine:
Current Teaching: ST337/405 Bayesian Forecasting and Intervention (with advanced topics)
Telephone: 024 7657 2580