Email Address: firstname.lastname@example.org
Other Research Theme Collaborations: SOMX
My research focuses on the development and application of statistical and machine learning approaches to address questions in biology and biomedicine. I am particularly interested in the analysis of heterogeneous, high-dimensional ’omics data, using either Bayesian or penalised likelihood approaches.
Specific problems of interest include statistical learning of molecular network structure using graphical model approaches, clustering approaches for precision medicine, and high-dimensional regression for biomarker discovery and prediction. I have also worked on modelling of longitudinal data from observational cohort studies, and have a general interest in combining molecular and clinical data to improve models for risk prediction or risk stratification. Application areas include cancer and dementia.
For a full list of my publications, please see my Google Scholar page.