Bradley P. Carlin
President and Founder
Brad Carlin is a statistical researcher, methodologist, consultant, and instructor. In addition to serving as founder and president of Counterpoint, he is also Senior Advisor for Data Science and Statistics at PharmaLex, an international pharmaceutical consulting firm. Prior to this, he spent 27 years on the faculty of the Division of Biostatistics at the University of Minnesota School of Public Health, serving as division head for 7 of those years. He has also held visiting positions at Carnegie Mellon University, Medical Research Council Biostatistics Unit, Cambridge University (UK), Medtronic Corporation, HealthPartners Research Foundation, the M.D Anderson Cancer Center, and AbbVie Pharmaceuticals. He has published more than 185 papers in refereed books and journals, and has co-authored three popular textbooks: “Bayesian Methods for Data Analysis” with Tom Louis, “Hierarchical Modeling and Analysis for Spatial Data” with Sudipto Banerjee and Alan Gelfand, and "Bayesian Adaptive Methods for Clinical Trials" with Scott Berry, J. Jack Lee, and Peter Muller. From 2006-2009 he served as editor-in-chief of Bayesian Analysis, the official journal of the International Society for Bayesian Analysis (ISBA). During his academic career, he served as primary dissertation adviser for 20 PhD students.
Dr. Carlin has extensive experience teaching short courses and tutorials, and won both teaching and mentoring awards from the University of Minnesota. During his spare time, Brad is a health musician and bandleader, providing keyboards and vocals in a variety of venues.
Mortimer Spiegelman Award, APHA, 2000
Harvard School of Public Health Department of Biostatistics Myrto Lefkopolou Distinguished Lectureship, 2001.
Leonard M. Schuman Award for Excellence in Teaching, 2008
University of Connecticut Department of Statistics Distinguished Alumnus Award, 2015
Click to visit Brad Carlin's Google Scholar page, his personal blog, or download his short form CV here (full academic-style CV available upon request):