Nathan T. James is a Statistical Scientist at Berry Consultants. He has previous experience as a public health data analyst, an academic research associate, and a CRO biostatistician. He earned a Ph.D. in Biostatistics from Vanderbilt University, where his doctoral research focused on semi-parametric Bayesian cumulative probability models and Bayesian variational inference for population pharmacokinetic models using real-world evidence. He also completed an FDA ORISE Fellowship to explore Bayesian copula modeling and semi-parametric regression for clinical trials. At Berry, he has adeptly translated clinical research questions into statistical modeling while designing early phase and pivotal trials for cardiovascular, neurodegenerative, and genetic diseases, among other areas. He is passionate about answering complex scientific questions using innovative statistical methodology.