Feng “Bill” Shi

Post-doctoral Scholar, Knowledge Lab

My background is in applied mathematics, and complex networks in particular. I have been working on various interacting particle systems such as the evolving voter model, percolation of nanocomposites, and virus-antibody interactions.

My work currently focuses on understanding the processes that generate and shape the knowledge in scientific systems, for example, the beliefs, preferences, biases, and strategies that guide scientists in their exploration of the natural world. This research is embedded in a large interdisciplinary collaboration to understand the creation, dissemination, and limit of human knowledge.

Recent Work:

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Recent Publications:

  • F. Shi, S. Wang, P.J. Mucha, M.G. Forest, Percolation-induced exponential scaling in the large current tails of random resistor networks, to appear in SIAM: Multiscale Modeling and Simulation
  • R. Durrett, J.P. Gleeson, A.L. Lloyd, P.J. Mucha, F. Shi, D. Sivakoff, J.E.S. Socolar, C. Varghese, Graph fission in an evolving voter model, Proceedings of the National Academy of Sciences of the United States of America, vol. 109 no. 10 3682-3687 2012
  • Y. Zhao, C. Xiao, F. Shi, Q. Peng, Rigid mesh deformation with detail preserving, Computer Research and Development, Vol. 47, no. 1, pp. 1-7. Jan. 2010