Matthew Gee is cofounder and principal at the Impact Lab, a data-analytics company focused exclusively on developing scalable data science solutions to social-sector problems. He is also a senior research scientist at the University of Chicago’s Center for Data Science and Public Policy and a research fellow at the Urban Center for Computation and Data. Matt is the cofounder of the Eric and Wendy Schmidt Data Science for Social Good fellowship, which in its first three years has paired 126 fellows with over 40 national, state, and local government organizations and NGOs to build data-driven solutions to social problems.
Matt’s applied work focuses on combining methods and problems from the social sciences with machine-learning methods and new data sources to drive operational efficiency and individual behavior change and to implement adaptive policy interventions, with a focus on energy use, sustainable development, urban systems, and local labor market dynamics. He has lead major data science initiatives with large public-sector clients, including the World Bank, national governments and agencies (Mexico, USA), state governments (California, Illinois), and cities (San Francisco, Chicago, Memphis), as well as large nonprofit organizations and for-profit companies. Matt serves as an advisor to Code for America, DataKind, and the Chicago School of Data and is a member of the World Bank’s Partnership for Open Data. He has previously worked at the US Treasury’s Office of Energy and Environment and has founded several companies focused on analytics, energy, and finance.
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