Dr. Jennifer Moore's work has focused around the use of quantitative methods for informing wildlife conservation and national park management. She has spent the past 9 years working on wildlife conservation projects with a particularly focus on African wildlife species, but with projects spanning wildlife and fisheries across a range of countries around the world. She specializes in the analysis of wildlife population survey data as well as illegal activity ranger-based monitoring data, but has also worked outside of these systems and is looking forward to work across countries and species!
Dr. Moore received her Ph.D. in Wildlife Ecology and Conservation from the University of Florida in 2018, her Master of Environmental Management with a certificate in Geospatial Analysis from the Nicholas School of the Environment at Duke University in 2013, and her Bachelor in Statistics and Geography from Northwestern University in 2011. During this time and after completing her degrees, she has interned and worked with such organizations as the Smithsonian Environmental Research Center, Lincoln Park Zoo, Wildlife Conservation Society, Duke Lemur Center, and World Wildlife Fund. She has conducted research in the United States, Madagascar, Gabon, Rwanda, and Uganda.
For her research, Dr. Moore has received grants from a number of funding agencies including National Geographic, the American Society of Mammalogists, Margot Marsh Biodiversity Fund, Primate Action Fund, Sigma Xi, and the American Philosophical Society.
Dr. Moore has published peer-reviewed literature across a range of international journals including the Journal of Applied Ecology, Ecological Applications, Marine and Coastal Fisheries, Animal Conservation, and the American Journal of Primatology.
Primarily, Dr. Moore conducts statistical analysis in program R, which she has been using since 2007, and creates maps using ArcGIS, which she has been using since 2010. In addition, depending on the model she has also used programs DISTANCE, MARK, and PRESENCE, or their associated R Packages. She has also taught workshops and classes on the use of R for analyzing ecological data.