PhD, Statistics, University of Minnesota, Twin Cities, 2001

BA, Mathematics, University of Colorado, Boulder, 1996

BA, Great Books Program, St. John’s College-Santa Fe, 1987

Associate Member, UGA Institute of Bioinformatics

Research: biomarker development, reproducibility studies, machine learning, validation of clinical predictors

Teaching: clinical trials, survival analysis, reproducible research

Distinguished Cancer Scholar, Georgia Cancer Coalition 2009-2014

American Statistical Association

International Biometric Society (ENAR)

Dr. Dobbin’s tries to bring his work experience gained during his tenure at NIH to bear in order to help students see the big picture and understand that individual public health projects take place in a larger context, and that the ultimate goal is to move the science forward.

Despite great advances in biological understanding in recent years, the translation of these discoveries into effective biomarkers and treatments for patients has been disappointing. What often slows down or stops effective translation is poor experimental design and analysis. Dr. Dobbin’s research focuses on improving these methodologies so that discoveries can more quickly get to the patients who need them.