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Christopher Myers

Adjunct Professor

Christopher Myers

130 Biotechnology Building

Educational Background

B.A., 1984, History, Yale University. Ph.D., 1991, Physics, Cornell University. Postdoctoral Research Associate, Institute for Theoretical Physics, University of California - Santa Barbara, 1991-1993. NSF/CISE Postdoctoral Research Associate in Computational Science and Engineering, Cornell Theory Center, 1993-1995. Research Associate and Group Leader, Computational Science and Engineering Research Group, Cornell Theory Center, 1993-1997. Senior Scientist, Beam Technologies, Inc., 1998. Senior Research Associate, Cornell Theory Center, 1998-2007. Associate Director for Computational Life Sciences, Cornell Theory Center, 2006-2007. Scientific Director,, 2014-2016. Senior Research Associate, Institute of Biotechnology, Cornell University, 2007- 2017.Senior Research Associate, Cornell Center for Advanced Computing, 2017 - present. Adjunct Professor, Physics, Cornell University, 2010-present.



Complex systems, networks, dynamics, critical phenomena, and pattern formation; theoretical and computational systems biology; infectious disease dynamics and host-pathogen interactions; scientific computing and software design.


  • Physics

Graduate Fields

  • Physics
  • Applied Mathematics
  • Computational Biology
  • Computational Science and Engineering


  • Physics
  • Center for Advanced Computing
  • Laboratory of Atomic and Solid State Physics (LASSP)


My research lies at the intersection of physics, biology, and computational science, focused on problems such as: infectious disease dynamics and host-pathogen interactions; biological information processing; dynamics and cascades on networks; the structure and dynamics of intracellular networks involved in gene regulation, signal transduction, metabolism, development, virulence and immune response; and the design and development of software systems for modeling complex physical and biological phenomena.


P. Graystock, W.H. Ng, K. Parks, A.D. Tripodi, P.A. Muniz, A.A. Fersch, C.R. Myers, Q.S. McFrederick & S.H. McArt, "Dominant bee species and floral abundance drive parasite temporal dynamics in plant-pollinator communities", Nature Ecology & Evolution, (2020). 

L.L. Figueroa, H. Grab, W.H. Ng, C.R. Myers, P. Graystock, Q.S. McFrederick, S.H. McArt, "Landscape simplification shapes pathogen prevalence in plant-pollinator networks", Ecology Letters, (2020). 

S. P. Ellner, W. H. Ng, C.R. Myers, "Individual specialization and multi-host epidemics: Disease spread in plant-pollinator networks", The American Naturalist 195, no. 5 (May 2020): E118-E131.

S. Mehringer, C.R. Myers, J. Houchins, L. Rivera, "Mining online training data", Proceedings of PEARC '19: Practice and Experience in Advanced Research Computing, article 84 (2019).  

C.R. Myers, "Zen and the art of parameter estimation in systems biology", invited chapter in Systems Immunology: An Introduction to Modeling Methods for Scientists, J. Das and C. Jayaprakash (eds.), CRC Press (2018). 

O. Kogan, K. O'Keeffe, C.R. Myers, "Fragility of reaction-diffusion models with respect to competing advective processes",  Phys. Rev. E 96, 022220 (2017). 

E. Bogart and C.R. Myers, “Multiscale metabolic modeling of C4 plants: connecting nonlinear genome-scale models to leaf-scale metabolism in developing maize leaves”, PLoS ONE 11(3): e0151722 (2016).

A.A. Alemi, M. Bierbaum, C.R. Myers, and J.P. Sethna, “You can run, you can hide: The epidemiology and statistical mechanics of zombies”, Phys. Rev. E 92, 052081 (2015).

J. Hindes and C.R. Myers, “Driven synchronization in random networks of oscillators”, Chaos 25, 073119 (2015).

M.K. Transtrum, B. Machta, K. Brown, B.C. Daniels, C.R. Myers, and J. P. Sethna, “Sloppiness and emergent theories in physics, biology, and beyond”, J. Chem. Phys. 143, 010901 (2015).

O. Kogan, M. Khasin, B. Meerson, D. Schneider, and C.R. Myers, “Two-strain competition in quasineutral stochastic disease dynamics”, Phys. Rev. E 90, 042149 (2014).

S. Singh and C.R. Myers, “Outbreak size statistics and scaling laws for externally driven epidemics”, Phys. Rev. E 89, 042108 (2014).

S. Singh, D.J. Schneider, and C.R. Myers, “Using multitype branching processes to quantify statistics of disease outbreaks in zoonotic epidemics”, Phys. Rev. E 89, 032702 (2014).

J. Hindes, S. Singh, C.R. Myers, and D.J. Schneider, “Epidemic fronts in complex networks with metapopulation structure", Phys. Rev. E 88, 012809 (2013).