University of Chicago Center for Data Science and Public Policy
Rayid Ghani is director of the Center for Data Science and Public Policy, and senior fellow at the Computation Institute and the Harris School of Public Policy at the University of Chicago. Ghani’s work focuses on developing data science-driven solutions to policy and social problems in health, public safety, criminal justice, urban infrastructure, education and economic development, in collaboration with governments and nonprofits. Ghani teaches data science and machine learning to graduate students as well as executives in governments and nonprofits and also runs the Data Science for Social Good Summer Fellowship that brings graduate students from computer science, math/statistics, and social science and policy to work on problems with social impact. Before joining the University of Chicago, Ghani was chief scientist of the Obama 2012 Election Campaign, in which he focused on data, analytics and technology to target and influence voters, donors and volunteers. Previously, Ghani was a research scientist and led the Machine Learning Group at Accenture Labs. Ghani did his graduate work in machine learning at Carnegie Mellon University and is actively involved in organizing data science related conferences and workshops. In his free time, Ghani works with nonprofits to help them with their data, analytics, digital efforts and strategy.