Alan Huebner

Dr. Huebner is a data scientist and award-winning statistics educator. In 2008-2011 he had a successful stint in industry in which he conducted research in psychometrics methods with applications to computer adaptive testing and cognitive diagnostic modeling. He joined the ACMS faculty in 2011 and has since developed and taught numerous applied statistics courses for both undergraduate and graduate students. A defining feature of all his courses is the application of statistical modeling and R computing to the analysis of real-world data. Dr. Huebner is also a research mentor for undergraduate students and an active collaborator with researchers in the US and Europe. Many of his recent projects involve applying multilevel regression modeling to educational psychology data, especially the study of elementary school students' writing development. He also works with ND Athletics on sports performance science projects to monitor student athletes' well-being and development using data gathered from wearable GPS units, force plate systems, and 3D motion capture systems.