Keith Lohse received a joint-PhD in psychology, cognitive science, and neuroscience from the University of Colorado in 2012. He then completed his post-doctoral training in rehabilitation science at the University of British Columbia in 2014. He is currently an assistant professor in the Department of Health, Kinesiology, and Recreation at the University of Utah, with an affiliate appointment in the Department of Physical Therapy and Athletic Training. He is also accredited as a professional statistician by the American Statistical Association for his expertise in data analysis, visualization, and statistical programming. He serves on the editorial board for the Journal of Motor Learning and Development, and Research Quarterly in Exercise and Sport, handling submissions in the areas of measurement, prediction, or advanced statistical models. He also serves on the Board of Directors for the American Society for Neurorehabilitation, specifically in the area of education and professional development. His research aims to improve our understanding of the mechanisms underlying therapeutic interventions in neurorehabilitation using large longitudinal data sets. To that end, he has specialized in the application of advanced statistical techniques (e.g., linear and nonlinear multi-level models; causal inference models in observational data) to understand the physiological basis of treatment efficacy in neurorehabilitation. The ultimate goal of Dr. Lohse’s research is to create more efficient rehabilitation practices and improve the quality of life for individuals with disabilities.