Matt Gee
Director, U.S. Programs Data at Gates Foundation
Matt Gee is the Director of the US Programs Data Team.
Before joining the foundation, Matt co-founded and served as CEO of BrightHive, a public benefit corporation focused on democratizing access to data and AI for lower-capacity organizations. At BrightHive, Matt pioneered the use of autonomous teams of AI agents that complete complex data tasks for organizations without data engineers or data scientists. He also led the development of innovative governance models, including data collaboratives and data trusts, enabling responsible data sharing for AI training and other applications.
Matt has a rich history of leadership in data and AI for public benefit. He co-founded Data Science for Social Good and has worked extensively with government agencies and NGOs to apply data-driven solutions to societal challenges. He is a Data and Society Fellow at the University of Chicago’s Knowledge Lab and has worked as a senior research fellow at UofC Center for Data Science and Public Policy and Computation Institute. His work has been funded by major organizations such as the National Science Foundation, the Sloan Foundation, and JP Morgan Chase. In the areas of education and workforce, he's helped develop and lead multiple data innovation networks, included the Workforce Data Initiative, the T3 Innovation Network, the Open Skills Network, and the Job Data Exchange. He has previously worked at the US Treasury and has founded several companies using data to improve society. He's served as an advisor to Code for America, DataKind, and the World Bank.
He holds a BA in Economics and Statistics from Brigham Young University and an MPP from the University of Chicago Harris School, where he completed all but his dissertation (ABD) in Computational Economics and Climate Policy.
Matt Gee
Director, U.S. Programs Data at Gates Foundation
Matt Gee is the Director of the US Programs Data Team.
Before joining the foundation, Matt co-founded and served as CEO of BrightHive, a public benefit corporation focused on democratizing access to data and AI for lower-capacity organizations. At BrightHive, Matt pioneered the use of autonomous teams of AI agents that complete complex data tasks for organizations without data engineers or data scientists. He also led the development of innovative governance models, including data collaboratives and data trusts, enabling responsible data sharing for AI training and other applications.
Matt has a rich history of leadership in data and AI for public benefit. He co-founded Data Science for Social Good and has worked extensively with government agencies and NGOs to apply data-driven solutions to societal challenges. He is a Data and Society Fellow at the University of Chicago’s Knowledge Lab and has worked as a senior research fellow at UofC Center for Data Science and Public Policy and Computation Institute. His work has been funded by major organizations such as the National Science Foundation, the Sloan Foundation, and JP Morgan Chase. In the areas of education and workforce, he's helped develop and lead multiple data innovation networks, included the Workforce Data Initiative, the T3 Innovation Network, the Open Skills Network, and the Job Data Exchange. He has previously worked at the US Treasury and has founded several companies using data to improve society. He's served as an advisor to Code for America, DataKind, and the World Bank.
He holds a BA in Economics and Statistics from Brigham Young University and an MPP from the University of Chicago Harris School, where he completed all but his dissertation (ABD) in Computational Economics and Climate Policy.