2025 CASA Traveling Course
“Everyday Reproducibility: Simple, Flexible Tools for Making Analyses More Accessible and Reproducible”
Instructors: Dr. Johann Gagnon-Bartsch, Associate Professor, University of Michigan
Dr. Gregory Hunt, Associate Professor, William & Mary
Two half-day course
October 15, 2025 (Online) & October 17, 2025 (Hybrid) 9AM-1PM CDT
Course description:
Reproducibility is essential in modern research, but making analyses both transparent and accessible can feel overwhelming. This hands-on course introduces practical, everyday tools that help you and your collaborators work more effectively.
About the Instructors:
Dr. Gagnon-Bartsch is an Associate Professor in the Department of Statistics and is affiliated with the Michigan Institute for Data Science and the Center for Computational Medicine and Bioinformatics. His research interests include causal inference, machine learning, and nonparametric methods, with applications in the biological and social sciences. Currently, Dr. Gagnon-Bartsch focuses on the analysis of high-throughput biological data and other types of high-dimensional data. In collaboration with colleagues, he is developing methods to address challenges such as systematic measurement errors of unknown origin and the effects of unobserved confounders. Dr. Gregory Hunt is an Associate Professor in the Department of Mathematics in The College of William & Mary in Virginia. He is trained as a statistician, mathematician and computer scientist. Dr. Gregory Hunt is an interdisciplinary researcher that builds scientific tools. Currently he works on a diverse set of problems in biology, physics, and engineering.