John Brandt is a Data Science Associate II for the Global Restoration Initiative’s monitoring team. He leads the implementation and research management of WRI’s efforts to monitor restoration projects and subnational progress on restoration. In this role, John designs and conducts remote sensing research to develop robust approaches to measuring restoration implementation with artificial intelligence, drone imagery, and satellite imagery.

John holds a Master’s in Environmental Management from the Yale School of Forestry and Environmental Studies, where he led the winning team of the United Nation’s Data for Climate Action Challenge. He is the author of more than a dozen academic papers on machine learning, and his work has been featured in popular media outlets such as Forbes and Wired. John also holds a Bachelor’s in Biology with honors from Vassar College.

John is an avid artist, baker, and gardener. He enjoys any recipe that can fit in a dutch oven and is always open to recipe suggestions.