My research interests are broad, but generally center on the causes and consequences of biodiversity loss at local, regional, and global scales with an explicit focus on global change drivers. Our work has been published in Science, Nature, Science Advances, Global Change Biology, PNAS, AREES, TREE, and Ecology Letters among other journals. We are especially interested in using AI and machine learning to explore broad-scale patterns of biodiversity and phenotypic variation, mostly in ants.
Nate Sanders
Professor, Ecology and Evolutionary Biology
ants, Biodiversity, data mining, ecology, museum specimens
COntact
Location
Ann Arbor
Methodologies
Artificial Intelligence / Data Mining / Databases and Data management / Machine Learning / Mathematical and Statistical Modeling / Networks / Statistics
Applications