I'm a Senior Research Scientist at New York University's Center for Urban Science and Progress (CUSP) and a 2016-2017 fellow at Data & Society Research Institute. I also consult for New York City's Administration for Children's Services.
Previously I was a student of applied urban science and informatics in CUSP's inaugural class (M.S.). Before that I was a postdoc in the Mathematical Sciences Institute at the Australian National University. I studied mathematics at UC San Diego under Peter Ebenfelt (M.S. and Ph.D.) and mathematics and economics at the University of Washington (B.S.). Additional details are in my CV.
My research interests are broadly related to computational social science, and in particular the application of machine learning techniques to a variety of urban issues. Current research projects include the use of heuristic models in public policy, statistical methods to accurately measure gunfire-related crime, and predictive models in child welfare.
Previously I was a student of applied urban science and informatics in CUSP's inaugural class (M.S.). Before that I was a postdoc in the Mathematical Sciences Institute at the Australian National University. I studied mathematics at UC San Diego under Peter Ebenfelt (M.S. and Ph.D.) and mathematics and economics at the University of Washington (B.S.). Additional details are in my CV.
My research interests are broadly related to computational social science, and in particular the application of machine learning techniques to a variety of urban issues. Current research projects include the use of heuristic models in public policy, statistical methods to accurately measure gunfire-related crime, and predictive models in child welfare.
