Carnegie Mellon University
October 12, 2016

Alumnus Uses Data Science for Social Good

Rayid Ghani, one of the first Machine Learning graduates from Carnegie Mellon University, is working to improve public health, education, economic development and public safety.

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.

His work focuses on developing data science-driven solutions to policy and social problems, in collaboration with governments and nonprofits.

Among current projects that Ghani and his students are working on is to help Metro Nashville Police Department and other police departments use data science to predict policing incidents, from excessive force to officer injury.

As part of the White House Frontiers Conference on Thursday, Oct. 13, Ghani will participate in the "Data-Driven Criminal Justice Reform Deep Dive Panel."

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