He is involved in the design and conduct of a broad range of cancer research, including preclinical, clinical, and epidemiologic studies. He teaches courses in biostatistical computing, methods, and applications. His methodological areas of expertise include statistical computing, Bayesian methods, correlated data, and statistical modeling.