Danielle S. Bassett
Associate Professor of Bioengineering
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Description of Research ExpertiseResearch Interests: We study biological, physical, and social systems by using and developing tools from network science and complex systems theory.
Keywords: Complex networks, graph theory, neuroimaging, applied mathematics, bioengineering, physics, neuroscience, cognitive neuroscience, learning
Research Techniques: fMRI, EEG, MEG, MRI, ECoG, DTI, DSI, network science, statistics, machine learning
Research Summary: We study biological, physical, and social systems by using and developing tools from network science and complex systems theory. Our broad goal is to isolate problems at the intersection of basic science, engineering, and clinical medicine that can be tackled using systems-level approaches. Recent examples include predicting the extent of learning from human brain networks, resolving the evolution of the neuronal synapse via genetic interaction networks, determining bulk material properties from mesoscale force networks, and isolating individual drivers of collective social behavior during evacuations. In these contexts, we seek to develop new mathematical methods for the principled characterization of temporally dynamic, spatially embedded, and multiscale networked systems, with the goal of predicting system behavior and designing perturbations to affect a specific outcome. A current focal interest of the group lies in network neuroscience, particularly in the use of dynamic networks. We develop analytic tools to probe the hard-wired pathways and transient communication patterns inside of the brain in an effort to identify organizational principles, to develop novel diagnostics of disease, and to design personalized therapeutics for rehabilitation and treatment of brain injury, neurological disease, and psychiatric disorders.