Dane Taylor, Assistant Professor of Mathematics

University at Buffalo, State University of New York

- CV - Google Scholar - UB Website -

email: danet [at] buffalo (dot) edu . tel: (716) 645 8796 fax: (716) 645 5039 mail: 224 Mathematics Building University at Buffalo Buffalo, NY 14260-2900

Research: Network Models for Data Science and Complex Systems

  • I develop theoretical foundations for network-based models of large data sets and high-dimensional dynamical systems.
  • I am interested in mathematical modeling, random matrix theory, matrix perturbation theory, information theory, topological data analysis, randomized algorithms, high-dimensional geometry, machine learning and much more.
  • I work in interdisciplinary collaborations to study the multiscale and self-organizing aspects of biological, social and information systems.

Upcoming Events

Select Publications

  • D Taylor, MA Porter and PJ Mucha (2019) Tunable eigenvector-based centralities for multiplex and temporal networks. [arXiv]
  • PS Skardal, D Taylor, J Sun (2019) Synchronization of network-coupled oscillators with uncertain dynamics. [arXiv]
  • Li, PJ Mucha and D Taylor (2018) Network-ensemble comparisons with stochastic rewiring and von Neumann entropy. SIAM Journal on Applied Mathematics 78(2), 897–920.
  • S Heroy, D Taylor, F. Shi, MG Forest and Mucha (2018) Rigid graph compression: Motif-based rigidity analysis for disordered fiber networks. Multiscale Modeling and Simulation 16(3), 1283–1304.
  • D Taylor, RS Caceres and PJ Mucha (2017) Super-resolution community detection for layer-aggregated multilayer networks. Physical Review X 7, 031056.
  • D Taylor, S Shai, N Stanley and PJ Mucha (2016) Enhanced detectability of community structure in multilayer networks through layer aggregation. Physical Review Letters 116, 228301.
  • D Taylor, F Klimm, HA Harrington, M Kramar, K Mischaikow, MA Porter and PJ Mucha (2015) Topological data analysis of contagion maps for examining spreading processes on networks. Nature Communications 6, 7723.
  • J Sun, D Taylor and EM Bollt (2015) Causal network inference by optimal causation entropy. SIAM Journal on Applied Dynamical Systems 14(1), 73-106.
  • PS Skardal, D Taylor and J Sun (2014) Optimal synchronization of complex networks. Physical Review Letters 113, 144101.