I develop Bayesian methods for analyzing complex spatial and spatio-temporal data, with a focus on creating interpretable tools for environmental and public health applications. My work emphasizes collaborative, data-driven solutions to real-world problems involving uncertainty and spatial dependence.
Education
- Ph.D. in Statistics, Department of Statistics, The Ohio State University, 2010.
Dissertation: Bayesian Probit Regression Models for Spatially-Dependent Categorical Data
Advisor: Catherine A. Calder - M.S. in Statistics, Department of Statistics, The Ohio State University, 2007.
- B.S. in Actuarial Science, Brigham Young University, 2005.