Casey is a postdoctoral scholar studying the impacts of human activity and climate change on marine biodiversity. His work examines the intersection of anthropogenic stressors with the ranges of species affected by those stressors to understand spatial patterns of human impact, to help inform effective marine conservation. As a data scientist, Casey strives to incorporate best practices of reproducibility and open science in his research.
Melanie collects, analyzes, and visualizes data for several global projects at NCEAS including the Ocean Health Index, cumulative human impact on global oceans, and footprint and costs of food. She also works to promote good data management, analysis, and visualization skills. Prior to arriving at NCEAS, Melanie worked for the U.S. Environmental Protection Agency.
Courtney works to advance the Center’s mission and support cross-Center initiatives that bridge synthesis research, environmental data science and learning activities. Trained as a marine scientist, Courtney is passionate about bringing interdisciplinary science to bear on real world issues affecting people and the planet. She received her Master’s degree in Environmental Science and Management from the Bren School at UCSB and a Bachelor of Science degree in Aquatic Biology, also from UCSB.
Inaugural applied synthesis groups to cover prescribed burns and grassland birds for the NCEAS Morpho Initiative.
Principal Investigator(s): Laura E. Dee, Anna Lopresti
ActiveThe Learning Hub teaches four data science principles through a five-day intensive course in R and GitHub called coreR: collaborative, open-access, reproducible, environmental data science.