David Masad is a PhD candidate in the CSS department interested in applying agent-based models and big data tools to policy questions. He graduated from the University of Chicago in 2009 with a BA in Economics and a minor in Near-Eastern Studies. Between 2009 and 2012 he worked as a research assistant at the Institute for Defense Analyses. He was awarded the prestigious George Mason University, three-year Presidential scholarship.
“Herd Privacy: Modeling the Spillover Effects of Privacy Settings on Social Networking Sites,” http://computationalsocialscience.org/publication/masad