PhD Candidate, Stanford Computational Social Science group
Camelia Simoiu is a Ph.D. candidate at Stanford University in the Management Science & Engineering Department. Her research interests are in developing statistical methods and data-driven tools to evaluate and design effective public policy. Application areas of particular interest include criminal justice and cyber security. Previously, Camelia was a Fellow of the University of Chicago’s Data Science for Social Good program, and a visiting researcher at the MIT Media Lab. She received a M.S. in Artificial Intelligence from the University of Amsterdam, and a B.S. in applied statistics from the University of Toronto.