My research uses dynamical systems theory to explore frontiers in modern ecology. I employ numerical simulations, statistical models, and spectral time series analysis to quantify population and metapopulation dynamics in the presence of process noise and observational uncertainty.
I am currently a Visiting Assistant Professor of Biology at Kenyon College, where I teach classes in Biology and Statistics. I recently completed a post-doc at NCSU where I worked with Fred Gould and Alun Lloyd on Aedes aegypti mosquito population dynamics in Iquitos, Peru. At NCSU, I used stastical models and individual-based simulation models to quantify the effect of control measures on mosquito population dynamics.
My PhD work was conducted under Dr. Helen Wearing at the University of New Mexico. I studied the metapopulation dynamics of measles and whooping cough, including the effect of population size on stochastic extinction and disease persistence.
I am fluent in the R, C++, and SQL programming languages, with a strong background in numerical programming, stochastic processes, and multi-dimensional data visualization. I have extensive experience in time series analysis and vector-based GIS.
My teaching and mentoring focuses on natural sciences students. I employ a hands-on, problem-driven approach to teaching probability, statistics, and scientific programming. Throughout my teaching, I advocate the advantages of literate programming and reproductible research.