Matt Gee is the senior research fellow of Data Science and Public Policy at University of Chicago, where he leads applied machine learning and data science research projects in energy, sustainability, and workforce and economic development. He is also a research fellow at the Urban Center for Computing and Data at the university. In addition, he is co-founder and principal of The Impact Lab, and co-founder and CTO of Open Energy Efficiency. He spends half his time doing original research in computational social science and applied machine learning and the other half building practical tools aimed at solving real-world problems with data. The purpose of his work is to advance the frontiers of both human knowledge and human action, and find new, productive, and replicable uses of data that advance social equality, economic opportunity, and environmental sustainability.