Name Rayid Ghani | ||
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Institutions University of ChicagoEdgeflip Residence Chicago, Illinois, United States Alma mater Sewanee: The University of the South, Carnegie Mellon University | ||
Interview with rayid ghani chief scientist obama for america at tiecon 2013 media lounge
Rayid Ghani is the Director of the Center for Data Science and Public Policy, Chief Data Scientist at the Urban Center on Computation and Data, Research Director at the Computation Institute (a joint institute of Argonne National Laboratory and The University of Chicago), and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. He is also the co-founder of Edgeflip, an analytics startup that grew out of the Obama 2012 Campaign, focused on social media products for non-profits, advocacy groups, and charities.
Contents
- Interview with rayid ghani chief scientist obama for america at tiecon 2013 media lounge
- Clinton school lecture series rayid ghani
- Education and career
- Research Contributions
- Selected publications
- References
Ghani is currently in charge of the Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship, at the University of Chicago.
Clinton school lecture series rayid ghani
Education and career
Ghani completed his schooling at the Karachi Grammar School, in Karachi, Pakistan. Ghani completed his graduate studies in the Machine Learning Department at Carnegie Mellon University with Tom M. Mitchell on Machine Learning and Text Classification and received his undergraduate degrees in Computer Science and Mathematics from University of the South.
Before his current role at the University of Chicago, he was the Chief Scientist of the Obama 2012 Campaign. Before that, he was a Senior Research Scientist and Director of Analytics research at Accenture Labs where he led a technology research team focused on applied R&D in analytics, machine learning, and data mining for large-scale and emerging business problems.
Research Contributions
Ghani's research focuses on developing and applying analytics, machine learning, data mining methods to large scale social problems in areas such as education, healthcare, energy, transportation, and public safety. His work has previously focused on text analytics, fundraising, volunteer, and voter mobilization using analytics, social media, and machine learning., and data mining. Rayid's research contributions have been in the areas of text mining, co-training, active learning, consumer behavior modeling, and fraud detection.
He has given keynote speeches on Analytics and the Presidential Elections (for example at Predictive Analytics World, Digital Leaders Forum, Carnegie Mellon University, and CeBIT Australia), on Business Applications of Data Mining, and Data Science for Social Good.