Michael Mann is an Associate Professor of Geography at The George Washington University. Here he teaches classes on GIS, Python programming, and spatial modeling. His research has focused on the application of spatial data and econometric techniques to forecasting of human/natural systems interactions. This has included modeling the economic determinants of deforestation in Brazil, forecasting housing development in California and economic losses due to wildfire, and agricultural modeling in Ethiopia. He also has interests in remote sensing, high performance computing, data visualization, and web mapping. Publications include ones at PNAS, Climatic Change, Ecological Economics, and Land Use Policy. He regularly pursues funding through interdisciplinary teams from NSF and NIH. Michael received his PhD in Geography and an MA in Environmental and Policy Modeling at Boston University and completed postdoctoral research at UC Berkeley.