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.

Affiliations

• American Statistical Association
• Institute of Mathematical Statistics
• International Society for Bayesian Analysis
• The International Environmetrics Society