I have a deep love of learning, and statistics provides an ideal foundation for it.

• Teaching: I help students connect statistical theory, computation, and applications.
• Research: I develop Bayesian methods for spatial and spatio-temporal data to better understand complex processes and uncertainty.
• Community: I value learning from colleagues whose diverse experiences and perspectives enrich the field.

• 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.

• American Statistical Association
• International Society for Bayesian Analysis
• The International Environmetrics Society