Rayid Ghani

Rayid Ghani
Born 1977 (age 39–40)
Karachi, Pakistan
Residence Chicago, IL, USA
Fields Computer Science, Machine learning, Data science
Institutions University of Chicago
Edgeflip
Alma mater University of the South, TN
Carnegie Mellon University, PA

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.

Ghani is currently in charge of the Eric & Wendy Schmidt Data Science for Social Good Summer Fellowship,[1] at the University of Chicago.[2]

Education and Career

Ghani completed his schooling at the Karachi Grammar School, in Karachi, Pakistan.[3] 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.[4][5] 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.[6] His work has previously focused on text analytics,[7] fundraising, volunteer, and voter mobilization[8] using analytics, social media,[9] and machine learning.,[10][11] and data mining.[12] Rayid's research contributions have been in the areas of text mining, co-training, active learning, consumer behavior modeling,[13] and fraud detection.

He has given keynote speeches on Analytics and the Presidential Elections (for example at Predictive Analytics World,[14] Digital Leaders Forum,[15] Carnegie Mellon University,[16] and CeBIT Australia[17][18]), on Business Applications of Data Mining,[19] and Data Science for Social Good.

Selected publications

References

  1. ↑ "Eric and Wendy Schmidt Data Science for Social Good Summer Fellowship".
  2. ↑ Kaye, Kate (2013-04-16). "Obama's Data Scientist Runs Social Good Program | DataWorks - Advertising Age". Adage.com. Retrieved 2013-07-07.
  3. ↑ Haqqi, Salman (21 January 2013). "'Obama’s secret weapon in re-election: Pakistani scientist Rayid Ghani'". Dawn.com. Retrieved 21 Feb 2015.
  4. ↑ Tim Murphy. "Meet Obama's Digital Gurus". Mother Jones. Retrieved 2013-07-07.
  5. ↑ Scherer, Michael (2012-11-07). "Obama Wins: How Chicago's Data-Driven Campaign Triumphed | TIME.com". Swampland.time.com. Retrieved 2013-07-07.
  6. ↑ "What the Obama Campaign's Chief Data Scientist Is Up to Now - Alexis C. Madrigal". The Atlantic. Retrieved 2013-07-07.
  7. ↑ Issenberg, Sasha. "Project Dreamcatcher: How cutting-edge text analytics can help the Obama campaign determine voters' hopes and fears. - Slate Magazine". Slate.com. Retrieved 2013-07-07.
  8. ↑ "Data-Crunched Democracy". Annenberg School for Communication, University of Pennsylvania.
  9. ↑ Alter, Jonathan (2013). The Center Holds: Obama and His Enemies|Simon and Schuster. p. 107. ISBN 1451646070.
  10. ↑ Johnson, Geoffrey (2012-07-24). "Can Obama Data-Mine His Way to Victory?". Chicagomag.com. Retrieved 2013-07-07.
  11. ↑ Rutenberg, Jim; Zeleny, Jeff (2012-03-08). "Obama Campaign's Vast Effort to Re-Enlist '08 Supporters". The New York Times.
  12. ↑ "Rayid Ghani - Google Scholar Citations". Scholar.google.com. Retrieved 2013-07-07.
  13. ↑ Baker, Stephen (2009). The Numerati. Houghton Mifflin Harcourt. pp. 44–64. ISBN 0618784608.
  14. ↑ "Predictive Analytics World 2013".
  15. ↑ "Digital Leaders Annual Lecture".
  16. ↑ "Carnegie Mellon University Machine Learning Distinguished Seminar Series".
  17. ↑ Taylor, Josh (2013-05-27). "Compulsory voting changes Australia election data game: Obama's data scientist".
  18. ↑ Tadros, Edmund (2013-05-30). "Obama’s election data guru says how the Labor and Liberal campaigns are getting it right – and wrong". Financial Review.
  19. ↑ "Interactive Data mining and Business Applications". ACM KDD Conference.
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