As an informaticist on the Information Management and Analytical Support team at the USDA, I work on getting the right data to the right people at the right time. I am constantly developing approaches to adapt best practices in data governance and data management to fit our organization’s structure and culture.
Previously, at the National Ecological Observatory Network, I advised on study design and data management issues for aspects of this continental-scale project pertaining to disease ecology, including tick, mosquito, small mammal, and pathogen sampling.
My postdoctoral work with Colleen Webb at Colorado State University involved designing and implementing national-scale models to quantify how cattle shipment patterns might affect a hypothetical foot-and-mouth disease outbreak in livestock. I also analyzed genetic relatedness of bovine tuberculosis strains circulating throughout the United States.
I completed my Ph.D. in 2012 at Yale University in the division of Epidemiology of Microbial Diseases at the School of Public Health. My dissertation focused on the ecology of the bacterium that causes Lyme disease, Borrelia burgdorferi. This involved a mix of field work trapping mice in the forest, performing genetic analyses on bacteria from mice and ticks, and creating and running computer simulations of transmission.
I am reached most easily by email at kimtsao (at) aya (dot) yale (dot) edu.