Bradley Carlin is a PhD biostatistician with a strong interest and professional background in clinical study design, data analysis, programming, report-writing, methods development, and interaction with clients and regulatory authorities.
Brad currently serves as the Founder and President of Counterpoint Statistical Consulting, a Minneapolis-based consulting firm that specializes in using data and modeling to find solutions to challenging problems in biomedicine. He previously served as the Head of the Division of Biostatistics at the University of Minnesota.
Brad’s training and research has focused on hierarchical Bayesian statistical modeling and associated computational methods, including Markov chain Monte Carlo (MCMC) methods. He has a proven track record of publishing and externally funded methodological grant support in Bayesian methods, computing, and applications related to spatial and environmental statistics, clinical trials, and meta-analysis, as well as mentoring the research of others. Brad has also been involved in the creation and dissemination of user-friendly software for implementing these models in practice; both through his own website and through the CRAN archive.
As the Head of the Division of Biostatistics at the University of Minnesota Brad taught a variety of both traditional academic courses and government, industry, and professional short courses in hierarchical Bayesian modeling and its implementation via the R and BUGS packages, with special emphasis on Bayesian adaptive clinical trials, including simulation of procedure operating characteristics.
Brad has coauthored three leading textbooks on Bayesian methods, including one on adaptive methods for clinical trials.