Distinguished Career Professor of Machine Learning and Public Policy - Carnegie Mellon University
Rayid is a Distinguished Career Professor of Machine Learning and Public Policy at Carnegie Mellon University focused on developing large-scale AI/Machine Learning/Data Science systems that can help create equitable outcomes in large public policy and social challenges. Among other areas, Rayid works with governments and non-profits in health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists to work on data science problems with social impact.
Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors, and volunteers. In his ample free time, Rayid obsesses over everything related to coffee and works with non-profits to help them with their data, analytics and digital efforts and strategy.
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