I am interested in the application of these computationally intensive statistical methodologies to the design and analysis of both pre-clinical and clinical data.
Bayesian concepts are also very helpful in the monitoring of clinical trials.
Bayesian statistical models tend to be mathematically intractable, and computational software to make Bayesian designs and analyses practical have only become available recently. I have also designed Phase II Bone Marrow Transplant trials utilizing sequential monitoring, so that the trials may be stopped quickly if treatments appear inadequately effective or excessively toxic. These sorts of applications are exciting that, while technical and even philosophical in nature, they have a direct effect on the way scientific experiments are conducted and analyzed, and have the potential to increase the insight from and reduce the cost of scientific experimentation and thereby directly benefit patient care.