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My research interests lie primarily in the areas of spatial, Bayesian, and nonparametric statistics. I enjoy using and developing statistical methods motivated by applied problems in the areas of environmental monitoring, agriculture, and sports, just to name a few. I am also interested in scientific communication, the interface between science and policy, and statistics education. In the past, I have collaborated with scientists and consulted clients on a variety of projects, including:
data analyses and development of methods aimed to maximize the ratings percentage index (RPI) of the CSU men's basketball team;
development of an algorithm used to predict calving in dairy cattle;
quantification of the relationship of oxidation/reduction potential and post freeze qualities in bull semen;
assessment of hurricane forecasts from dynamical forecasting models with scientists from the National Center for Atmospheric Research (NCAR) and the National Oceanic and Atmospheric Administration (NOAA) in Boulder, CO;
development of an R software package that implements test of spatial isotropy;
algorithm development for quantification of the size and location of methane sources (e.g., natural gas leaks) located in major U.S. cities using data from mobile methane surveys;
development of a Bayesian, hierarchical, integrated population model for estimating the number of natural gas leaks and their emission rates in local distribution systems using capture-recapture methods;
a meta-analysis of temperature sensitivity traits in soil microbes;
creation of a new statistical method for testing the assumption of isotropy in spatial data;
a study of bruising incidence and meat trim loss in fed cattle;
estimation of national emissions and activity factors for natural gas distribution systems; and
a model for assessing optimal defensive alignment for MLB teams.
Software
My R package spTest is available on GitHub. The functions in spTest implement nonparametric tests of isotropy for spatial data.
Presentations and Posters
Methane Emissions in Local Distribution Systems
Advanced Leak Detection to Manage Natural Gas Distribution Systems
Data Science: Living in a Data Driven World
Capture-Recapture with Google Street View Cars
Introduction to creating an R package - files available upon request
Testing Second Order Properties of Spatial Data
Using Rumen Temperature to Improve Herd Health in Dairy Cattle
Maximizing the RPI of the CSU Men's Basketball Team
Google Sites
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