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 societies are organized the way they are and how individual-level behavior can influence group-level properties.
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 am active in science policy and advocacy; work on issues of diversity, equity, & 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, mixed martial arts (trained ages 12-22), amateur-level graphic design, and the occasional surf session.