My research uses dynamical systems theory to explore frontiers in modern ecology. I employ numerical simulations, statistical models, and time series analysis to quantify population and metapopulation dynamics in the presence of process noise and observational uncertainty.
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. My current work at NCSU uses individual-based models to quantify the effect of control measures on mosquito population dynamics.
My mathematical skill set includes probability theory, machine learning methods, generalize linear modeling, and bootstrapping. I am fluent in the R, C++, and SQL programming languages, with a strong background in numerical and stochastic programming and multi-dimensional data visualization. I also 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.