Photograph of Nate Sanders
Applications:
Biological Sciences, Ecological Research
Methodologies:
Artificial Intelligence, Data Collection Design, Data Mining, Database Systems and Infrastructure, Geographic Information Systems, High-Dimensional Data Analysis, Machine Learning, Network Analysis, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Inference, Statistical Modeling, Statistics, Time Series Analysis

Nate Sanders

Professor

Ecology and Evolutionary Biology

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.