Nathan Rutenbeck

Nathan Rutenbeck is the Machine Learning and Data Product Manager at Vibrant Planet. He joined the company after nearly a decade working as a data scientist at the Natural Capital Exchange (NCX), where he worked on building Bayesian machine learning models to predict forest composition, structure, and disturbance using field measurements and remotely sensed data. He received an M.F. from the Yale School of Forestry, where he focused on forest ecology, biometrics and silviculture, as well as an M.A.R. from Yale Divinity School with an emphasis on environmental and social ethics. He is passionate about leveraging data science, machine learning, and decision theory at scale to help human societies chart a course towards a more just and sustainable future in an era of increasingly complex and intertwined technological, economic, and environmental problems.