I am a quantitative disease ecologist interested in how we can use pathogen surveillance data and apply tools from graph theory in a novel way, to better understand broad scale spatial transmission of multi-host, and environmentally transmitted disease systems. My dissertation research focused on quantifying spatial patterns of prevalence, and modeling the international movement of avian influenza viruses via migratory waterfowl. I aim to refine disease surveillance strategies for pathogens with large spatial distributions, and to develop tools that can be used to manage spillover risk to domestic and human populations. I am particularly interested in understanding the mechanisms that drive spatial heterogeneity of disease prevalence and transmission across the landscape.