Research Topics

  • The topology of structural brain networks and its role in shaping patterns of functional connectivity.
  • Models of inter-areal communication dynamics in large-scale brain networks.
  • Principles of time-varying functional network reconfiguration and its relationship to ongoing cognitive processes.
  • The role of spatial embedding in shaping structural network organization and the emergence of tradeoffs between wiring cost and adaptive functional features.
  • Neurobiologically-constrained generative models of brain networks and applications to brain development.

My research program focuses on understanding the general organizational and functional principles of connectomes – network maps of the connectivity among neurons, neuronal populations, and large-scale brain areas. A deeper knowledge of these principles gives us insight the connectome's role in shaping human behavior and cognition and helps reveal how abnormal connectivity can lead to disease. This research involves network modeling and analysis using a diverse set of mathematical tools that includes elements of graph theory, information theory, and dynamical systems theory.

Subject Areas

  • Psychological and Brain Sciences
Neuroscience, Cognitive Science, Psychology
PhD, Indiana University Bloomington, Psychological and Brain Sciences, 2015
MS, Indiana University Bloomington, Biomechanics, 2010
BA, Oberlin College, Physics and Astronomy, 2007