Event Host: Translational Data Analytics Institute
Short Description: The TDAI Speaker Series features a diverse range of talks and seminars with TDAI innovators and leading data experts from around the globe. Join us each month for robust discussions around issues in data analytics – from ethical data use to racial bias to environmental governance.
The TDAI Speaker Series features a diverse range of talks and seminars with TDAI innovators and leading data experts from around the globe. Join us each month for robust discussions around issues in data analytics – from ethical data use to racial bias to environmental governance.
Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University.
Rayid is a reformed computer scientist and wanna-be social scientist, but he mostly just wants to increase the use of large-scale AI, machine learning and data science in solving large public policy and social challenges in a fair and equitable manner. 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 that trains computer scientists, statisticians and social scientists from around the world to work on data science problems with social impact.