Danielle Bassett (Effective July 1, 2018)

Secondary Appointment Professor of Physics and Astronomy, Primary Appointment Associate Professor of Bioengineering
Concentration: 
Biophysics, Condensed Matter
Hayden Hall 113
(215) 746-1754
Education: 

Ph.D., University of Cambridge (2009)

C.P.G.S., University of Cambridge (2005)

B.S., Pennsylvania State University, Schreyer Honors College (2004)

Research Interests: 

Professor Danielle S. Bassett’s group studies the structure and function of networks, predominantly in physical and biological systems. Her interests lie in using and developing tools and theories from complex systems science, statistical mechanics, and applied mathematics to study dynamic changes in network architecture, the interaction between topological properties of networks and physical or other constraints, and the influence of network topology on signal propagation (mechanical, electrical, informational) and system function. In physical systems, her group conducts research in dynamical systems as well as granular and particulate matter, and recent studies have considered synchronization dynamics in Kuramoto oscillators, force chain network structure in granular matter, reconfiguration of force chains under compression, and acoustic transmission through force chains. In biological systems, her group conducts research in brain connectivity and human behavior. Among other things in this area, her group has investigated collective dynamics in human behavior, how humans learn graphs of related concepts, how brain connectivity reflects cognitive capacities and changes during adolescent development, and how brain connectivity is altered in neurological disease (such as epilepsy and Alzheimer’s) and disorders of mental health (such as schizophrenia and autism); these studies touch on applied algebraic topology, network control theory, maximum entropy models, multilayer networks, multiplex networks, temporal networks, and annotated graphs.

Selected Publications: 

 

  • Jason Z. Kim, Jonathan M. Soffer, Ari E. Kahn, Jean M. Vettel, Fabio Pasqualetti, Danielle S. Bassett. Role of Graph Architecture in Controlling Dynamical Networks with Applications to Neural Systems. Nature Physics. 2018, 14:91–98.
  • Richard F. Betzel, John D. Medaglia, Danielle S. Bassett. Diversity of meso-scale architecture in human and non-human connectomes. Nature Communications. 2018, 9(1):346.
  • Ann Sizemore, Chad Giusti, Ari E. Kahn, Jean M. Vettel, Richard F. Betzel, Danielle S. Bassett. Cliques and cavities in the human connectome. Journal of Computational Neuroscience.  2018, 44(1):115-145.
  • Evelyn Tang, Chad Giusti, Graham Baum, Shi Gu, Eli Pollock, Ari E. Kahn, David Roalf, Tyler M. Moore, Kosha Ruparel, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, and Danielle S. Bassett. Developmental increases in white matter network controllability support a growing diversity of brain dynamics. Nature Communications. 2017, 8(1):1252.
  • Lia Papadopoulos, Jason Kim, Jurgen Kurths, Danielle S. Bassett. Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators. Chaos. 2017, 27(7):073115.
  • Chad Giusti, Lia Papadopoulos, Eli T. Owens, Karen E. Daniels, Danielle S. Bassett. Topological and geometric measurements of force chain structure. Phys Rev E. 2016, 94(3-1):032909.
  • Lia Papadopoulus, James Puckett, Karen E. Daniels, Danielle S. Bassett. Evolution of network architecture in a granular material under compression. Phys Rev E. 2016, 94(3-1):032908.
  • Chad Giusti, Robert Ghrist, Danielle S. Bassett. Two's company, three (or more) is a simplex: Algebraic-topological tools for understanding higher-order structure in neural data. Journal of Computational Neuroscience. 2016, 41(1):1-14.
  • Shi Gu, Fabio Pasqualetti, Matthew Cieslak, Qawi K. Telesford, Alfred B. Yu, Ari E. Kahn, John D. Medaglia, Jean M. Vettel, Scott T. Grafton, Danielle S. Bassett. Controllability of Structural Brain Networks. Nature Communications. 2015, 6:8414.
  • Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton. Learning-Induced Autonomy of Sensorimotor Systems. Nature Neuroscience. 2015, 18(5):744-51.
  • Danielle S. Bassett, Eli T. Owens, Mason A. Porter, M. Lisa Manning, Karen E. Daniels. Extraction of Force-Chain Network Architecture in Granular Materials Using Community Detection. Soft Matter. 2015, 11(14):2731-44.
  • Danielle S. Bassett, Eli T. Owens, Karen E. Daniels, Mason A. Porter. The influence of network topology on sound propagation in granular materials. Phys Rev E. 2012, 86:041306.