I am a professor at Michigan State University with a joint appointment in the Departments of Forestry and Statistics & Probability. I am also a member of the interdisciplinary Ecology, Evolutionary Biology, and Behavior Graduate Program faculty.
My research interests lie in developing methodologies for monitoring and modeling environmental processes, Bayesian statistics, spatial statistics, and statistical computing. A central theme in my research is the use of hierarchical models to integrate information from disparate sources to improve inference and prediction. In terms of application areas, my research focuses on spatial-temporal modeling of changing ecosystem components and systems.
PhD Natural Resources Science and Management, 2006
University of Minnesota
MS Statistics, 2007
University of Minnesota
MS Forestry, 2003
University of Massachusetts
BS Forestry, 2000
The Pennsylvania State University
The Geospatial Lab is located in the Natural Resources Building at Michigan State University. Most of the research conducted in the lab relies on our small, but growing, Linux cluster and several large heterogeneous machines. The lab is currently supported by NSF, NASA, USDA Forest Service, and NPS projects.
Multilevel B-spline Approximation
An R package for estimating forest variables with the Forest Inventory and Analysis Database.
Univariate and Multivariate Spatial Modeling of Species Abundance
An R package for univariate and multivariate spatial-temporal modeling.
An R package for implementing spatial regression models for large datasets using nearest neighbor gaussian processes
Single-Species, Multi-Species, and Integrated Spatial Occupancy Models