Raphael is a soil scientist who’s work helps to better understand and predict how soil functions respond to climate and anthropogenic change. He’s particularly interested in carbon sequestration, the preservation of biodiversity, nutrient cycling and food production. He develops new methods for measuring, mapping and monitoring soil, and uses empirical, machine learning and mechanistic models for prediction at relevant spatial and temporal scales. He is a Clarivate Analytics highly-cited researcher, has received numerous awards and has supervised and co-supervised many undergraduate and postgraduate students.