Philip White is a Statistical Scientist for Berry Consultants. Before joining Berry Consultants, he was a faculty member in the Department of Statistics at Brigham Young University. His expertise includes hierarchical modeling, Bayesian statistics, and Bayesian non- and semi-parametric methods for the analysis of time series, functional, and spatial data. He has co-authored over 20 peer-reviewed articles in the statistical and scientific literature. He and his co-authors won the Wiley-TIES Best Environmetrics Paper Award in 2019. His previous consulting includes work in studying ecology, social dynamics, human-animal interactions, veterinary science, animal behavior, early-stage product development, and marketing. After receiving a B.S. in Applied Physics and M.S. in Statistics from Brigham Young University, he earned his Ph.D. in Statistical Science from Duke University in 2019.