He received his Ph.D. in Physics from SUNY Stony Brook in 2008, followed by a postdoctoral position at New York University’s Stern School of Business. His research applies empirical techniques to large-scale social networks and networked systems in order to understand the role of online interactions in the diffusion of information, behaviors and dynamic processes. His work fuses in-the-wild networked randomized trials with large-scale data analysis to inform new policies and incentive structures that seek to promote or discourage behavioral and economic outcomes at the individual, community, and population level.