Ransmond received his Master’s in Statistics from Northern Arizona University and is a Ph.D. Biostatistics student at the Population Health Science Department of the University of Utah. His research interest broadly spans causal inference, survival analysis, longitudinal data analysis, and pharmacoepidemiology. He is currently working on using EHR data of patients at-risk of sepsis to learn an optimal antibiotic initiation rule. He is an experienced scholar in the field of Statistics and Biostatistics.
Currently, he is a Research Assistant at the Study Design and Biostatistics Center at the University of Utah. In this role, he collaborates with various highly-trained professionals – physicians, pharmacists, MS- and PhD-trained statisticians – on innovative projects serving as the leading or secondary biostatistician/analyst. He is a member of the American Statistical Association and a recipient of the Lester R. Curtin Award.