Ravi Shroff is an Assistant Professor of Applied Statistics in the department of Applied Statistics, Social Science, and Humanities at NYU’s School of Culture, Education, and Human Development. Previously, Ravi was a Senior Research Scientist at CUSP, and before that, a postdoctoral fellow in the Mathematical Sciences Institute at the Australian National University. Ravi studied mathematics at UC San Diego (Ph.D.) and applied urban science and informatics at CUSP (M.S.).
Ravi’s research interests are broadly related to computational social science, and in particular the development of statistical methods to measure and improve the equity and efficiency of decision making, often in urban, public-sector settings. Some of Ravi’s recent research projects investigate issues such as inequitable policing, pretrial bail judgments, and the use of algorithms to inform high-stakes decision making. At CUSP, Ravi teaches a course called ‘Data-Driven Methods for Policy Evaluation’ which guides students through topics at the intersection of statistics and public policy, including quantitative approaches for measuring discrimination, current debates in algorithmic fairness, and more.