His primary area of research is spatiotemporal epidemic modeling, which draws on aspects of Bayesian hierarchical models, statistical computing, simulation, and data visualization. He is also interested in the analysis of correlated data more generally, and statistical learning techniques. Grant earned his PhD in Biostatistics from the University of Iowa in 2015, and has contributed to numerous research projects across campus. Among other pursuits and consulting work, he has evaluated a program to encourage patient engagement with pharmacists, contributed to the development of data entry and program management websites for programs promoting colorectal cancer screening and breast/cervical cancer screening programs in Iowa, and implemented predictive enrollment models for Enrollment Management at the university.