Complexity Postdoctoral Fellow
In a complex system made up of simple, interacting parts, the underlying network structure of those interactions can have a profound effect on how the system behaves. Maria is broadly interested in the question of how to meaningfully describe and compare such networks, and in developing a more systematic understanding of how network features impact emergent patterns in dynamical systems. Her previous work includes developing spectral and Bayesian methods for identifying community structure in networks.
Before joining SFI, Maria was a James S McDonnell Postdoctoral Fellow. She received her Ph.D. in Applied and Interdisciplinary Mathematics from the University of Michigan, and her B.S. in Mathematics from Caltech.