Chan School of Public Health. He is interested in the development of adaptive clinical trial designs, and his research includes the study of algorithms and methodologies for the analysis of data generated by adaptive trials. He is also particularly interested in Bayesian nonparametrics, a great source of modeling opportunity in biomedical applications as well as both computational and theoretical problems.