My research employs a dynamical systems interpretation of population and community ecology, with an emphasis on time series analysis and simulation of discrete stochastic dynamical systems. I am currently studying the metapopulation dynamics of measles and whooping cough. In particular, I am exploring the effect of population size on stochastic extinction as a metapopulation measure of disease persistence.
My mathematical skill set includes probability theory, machine learning methods, linear modeling, and bootstrapping. I am fluent in the R programming language, and have extensive experience in SQL and C++. I am skilled at sophisticated data visualization, and at communicating complex ideas to individuals from a range of backgrounds. I also enjoy mentoring and teaching probability, statistics, and scientific programming to natural sciences students.
I am currently a post-doctoral fellow at North Carolina State University working with Fred Gould and Alun Lloyd on Aedes aegypti population simulations.
I was previously a research assistant in the Wearing Research Group at the University of New Mexico's Department of Biology. I defended my Ph.D. in May 2014.