Professor of Biostatistics, School of Public Health
Public Health » Biostatistics
Statistical modeling of biomedical data. Bayesian and MCMC methodology with and emphasis on mixture models, highly correlated high dimensional data, and variable parameter spaces. Applications in medical imaging, neurology, cancer, radiology, and endocrinology.