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Karyn Sutton, CRSC Postdoctoral Assistant

 

Education

  • Ph.D. in Mathematics, Arizona State University
  • M.A. in Applied Mathematics, Arizona State University
  • B.S. in Mathematics, University of Michigan - Ann Arbor
  • B.S. in Cell and Molecular Biology, University of Michigan- Ann Arbor 
  • Research: Mathematical Modeling, Modeling in Biological Sciences, Inverse problems.

    Recent Publications

    1. H.T. Banks, K. L. Rehm, Karyn L. Sutton.  Dynamic social network models incorporating stochasticity and delays, Quarterly of Applied Mathematics, in press.
    2. Karyn L. Sutton, H. T. Banks, Carlos Castillo-Chavez.  Public vaccination policy using an age-structured model of pneumococcal infection dynamics, Journal of Biological Dynamics, in press.
    3. H. T. Banks, M. Davidian, J. R. Samuels, Jr., Karyn L. Sutton. An inverse problem statistics methodology summary. in ``Mathematical and Statistical Estimation Approaches in Biology'' (eds G. Chowell, J. M. Hyman, L. M. A. Bettencourt, and C. Castillo-Chavez), Springer, (2009) 249--302.
    4. Karyn L. Sutton, H. T. Banks, Carlos Castillo-Chavez.  Estimation of invasive pneumococcal disease dynamic parameters and the impact of conjugate vaccination in Australia, Math Biosci and Eng, 5 (2008), 175-204.
    5. Tami L. Kinzer-Ursem, Anna Waller, Karyn L. Sutton, Afaf Absood, Geneva M. Omann, Jennifer J. Linderman. Multiple receptor states are required to describe both kinetic binding and activation of neutrophils via N-formyl peptde receptor ligands, Cellular Signaling, 18 (2006), 1732-1747.
    6. Anna Waller, Karyn L. Sutton, Tami Kinzer-Ursem, Afaf Absood, John R. Traynor, Jennifer J. Linderman, Geneva M. Omann.  Receptor biding kinetics and cellular responses of six N-formyl peptide agonists in human neutrophils, Biochemistry 43 (2004), 8204-16.
    7. Anna Waller, David Pipkorn, Karyn L. Sutton, Jennifer J. Linderman, Geneva M. Omann.  Validation of Flow Cytometric Competitive Binding Protocols and Characterization of Fluorescently Labeled Ligands, Cytometry 45 (2001), 102-14.


    If you would like to contact Dr. Sutton, she can be reached at: klsutton@ncsu.edu .

    CRSC Technical Reports

    • CRSC-TR07-15, ESTIMATION OF INVASIVE PNEUMOCOCCAL DISEASE DYNAMIC PARAMETERS AND THE IMPACT OF CONJUGATE VACCINATION IN AUSTRALIA, Karyn L. Sutton, H. T. Banks, Carlos Castillo-Chavez, August 2007.
    • CRSC-TR08-01 AN INVERSE PROBLEM STATISTICAL METHODOLOGY SUMMARY H.T. Banks, M. Davidian, J.R. Samuels Jr., and K. L. Sutton January, 2008
    • CRSC-TR08-13 AN AGE-STRUCTURED MODEL FOR PNEUMOCOCCAL INFECTION WITH VACCINATION K.L. Sutton, H.T. Banks, and C. Castillo-Chavez September, 2008
    • CRSC-TR08-19 INVERSE PROBLEM METHODS AS A PUBLIC HEALTH TOOL IN PNEUMOCOCCAL VACCINATION K.L. Sutton, H.T. Banks, and C. Castillo-Chavez November, 2008
    • CRSC-TR09-10 CONVERSION OF DYNAMIC SOCIAL NETWORK STOCHASTIC DIFFERENTIAL EQUATION MODEL TO FOKKER-PLANCK MODEL H.T. Banks, K.L. Rehm, and K.L. Sutton April, 2009
    • CRSC-TR09-11 DYNAMIC SOCIAL NETWORK MODELS INCORPORATING STOCHASTICITY AND DELAYS H.T. Banks, K. Rehm, and K.L. Sutton May, 2009
    • CRSC-TR09-17 ESTIMATION OF CELL PROLIFERATION DYNAMICS USING CFSE DATA H.T. Banks, W.C. Thompson, K.L. Sutton, G. Bocharov, D. Roose, T. Schenkel and A. Meyerhans August, 2009


     



     

     

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