he was a professor of political science at washington university in st. louis and the director of the center for applied statistics. he was also president of the society for political methodology, and is an inaugural fellow of the society for political methodology. major areas of research and interest include: political methodology, american politics, statistical computing, research methods, and public administration. current research is focused on projects on work in the development of bayesian hierarchical models, nonparametric bayesian models, elicited prior development from expert interviews, as well in fundamental issues in statistical inference. he has extensive expertise in statistical computing, markov chain monte carlo (mcmc) tools in particular. most sophisticated bayesian models for the social or medical sciences require complex, compute-intensive tools such as mcmc to efficiently estimate parameters of interest. gill is an expert in these statistical and computational techniques and uses them to contribute to empirical knowledge in the biomedical and