Various types of data are routinely collected in biomedical studies under different study designs. My main research focuses on the development of novel statistical methods for the analysis of such data. One particular research area of mine is to develop novel semiparametric models to balance between robustness and efficiency and apply these models to cancer, genetics, and neuroimaging studies.
Another research area is computational probability, in particular, the rare event simulation problem. In financial and actuarial mathematics, it is often of interest to calculate the probability of a rare event, for example, ruin for an insurance company under the Cramér-Lundberg model in the presence of stochastic investments. Working with Dr. Jeffrey Collamore and Dr. Anand Vidyashankar, I am interested in developing novel algorithms for estimating such rare event probabilities.
My applied work includes collaborations with investigators in the areas of disability and rehabilitation, and policing and criminology. A current project with Dr. Cynthia Lum and Dr. Christopher Koper aims to compare the effect of proactive policing with reactive policing on the deterrence of crime.
Semiparametric Modelling
Survival Analysis
Statistical Genetics
Longitudinal Data Analysis
Diagnostic Medicine
High-Dimensional Data Analysis
Clinical Trial Designs
Computational Probability