Program Postdoctoral Fellow

Eddie studies the patterns of collective behavior in human society. He has studied the emergence of blocs in political voting on the US Supreme Court, the dynamics of conflict in a pigtailed macaque society, and how people coordinate motion using both theoretical models from statistical physics and computational tools. 
Recently, Eddie became interested in predicting the spread of armed conflict. With colleagues, he has uncovered patterns in the spread of armed conflict that suggest surprising similarity between the dynamics of different conflicts occurring in different places and at different times. Such universal patterns provide the first steps for building a comprehensive scaling theory of conflict to potentially inform strategies for conflict mitigation. 
He has also been working on the statistical control of complex systems, for example, for voting where collective outcomes might depend on a few pivotal voters. More generally, the understanding of how complex systems change when component behavior is modified is relevant when considering whether or not institutions are robust to targeted perturbation. Such perturbation might be aimed to change member behavior or to replace members like during an election or nomination process. 
Eddie holds a Ph.D. in Physics from Cornell University, he was advised by Professor Paul Ginsparg. He received his A.B. in Physics and Certificate in Biophysics from Princeton University in 2012 and M.Sc. in Physics from Cornell in 2018. He is a fellow of the Collective Computation Group at the Santa Fe Institute.