At the intersection of the computational, biological, and social sciences, my work uses computational models to explore self-organization, emergence, and complexity in social systems—from ants to humans. In other words, I am interested in understanding why social systems are organized the way they are and how individual-level behavior can influence the group-level properties of social systems.
I am an NSF Graduate Research Fellow and Ph.D. candidate at Princeton University in the Department of Ecology and Evolutionary Biology. I received my B.S. from Yale University in 2014, before spending two years working in federal science policy in Washington, D.C. Wishing to continue on in my studies, I then returned to graduate school to pursue a Ph.D.
In addition to my scientific research, I conducted policy work for my local state legislator, continue to work on issues of diversity & inclusion in science, and occasionally do data science projects for fun. My outside interests include the NBA, R&B and hip hop music, weight training, amateur-level graphic design, and the (very) occasional surf session.