Ravi is a research scientist at CUSP. His interests include the application of machine learning techniques to social data, in particular policing and educational data, and the application of mathematical techniques to urban science. Previous projects include an examination of NYPD’s “Stop, Question, Frisk” program and a study of the allocation of pre-Kindergarten students in New York City.
Ravi completed a B.S. in Mathematics and Economics from the University of Washington, a M.S. and Ph.D. in Mathematics from UC San Diego, and a M.S. in Urban Informatics from CUSP. His doctoral work was in several complex variables and differential geometry. Prior to working at CUSP he was a postdoctoral fellow at the Australian National University in Canberra, and an intern at Microsoft Research in New York City.
For more information and publications, please visit Ravi’s personal website: www.rshroff.com.