Dr. John Fieberg

Much of the research in this lab is focused on developing and testing methods for linking observations of animals collected remotely - using Global Positioning System Collars or remotely triggered cameras - to environmental variables. This work often involves large datasets, such as millions of photos that need to be analyzed  to generate species IDs using machine learning techniques. The models can also require significant computational resources; for example, the researchers must appropriately account for individual- or site-level variation in statistical parameters.