He teaches courses in item response theory (IRT), classical test theory, computer programming, ANOVA, regression, and multivariate statistics. His research focuses on applications of IRT, the evaluation of standard setting processes, the use of Bayesian statistics for solving practical measurement problems, and the implementation and estimation of innovative measurement models. Dr. Skorupski received his Ed.D. in Psychometric Methods from the University of Massachusetts Amherst in 2004.