is the Director of the Center for Data Science & Public Policy
and a Senior Fellow at the Harris School of Public Policy and the Computation Institute at the University of Chicago. Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/ML/DS/data-related buzzword approaches in solving large public policy and social challenges. Among other areas, Rayid works with governments and non-profits in policy areas such as 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
at UChicago that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.
Before joining the University of Chicago, 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. Previously, Rayid was a Research Scientist and led the Machine Learning group at Accenture Labs. Rayid 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 ample free time, Rayid works with non-profits to help them with their data, analytics and digital efforts and strategy.