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    • Christina M. Weaver

    Assistant Professor of Mathematics
    Mathematics & Computer Science
    Mathematics
    Bioinformatics
    717-291-3872
    Stager Hall
    Office: STA-206
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    Biography Education Research Publications Student CollaborationsCourse Information

    Professional Biography

    Assistant Professor    Franklin & Marshall College, Lancaster, PA    2009-present
                         Department of Mathematics and Computer Science

    Instructor    Mount Sinai School of Medicine, New York, NY.      2007-2009
                         Dept. of Neuroscience; Computational Neurobiology and Imaging Center.

    Postdoc. Fellow    Mount Sinai School of Medicine, New York, NY.      2003-2007
                         Dept. of Biomathematical Sciences; Computational Neurobiology and Imaging Center.  

    Education

    Ph.D.   Stony Brook University, Stony Brook, NY             2003

                Applied Mathematics & Statistics


    B.S.     Mount St. Mary's University, Emmitsburg, MD     1998

                Mathematics

    Research Interests

    Computational neuroscience; image analysis; mathematical biology

    Publications

    1. Luebke JI, Weaver CM, Rocher AB, Rodriguez A, Crimins JL, Dickstein DL, Wearne SL, Hof PR.  Dendritic vulnerability in neurodegenerative disease:  insights from analyses of cortical pyramidal neurons in transgenic mouse models.  Brain Struct Func. 214(2-3): 181-199, (2010).  PMID:  20177698
    2. Weaver, C. M. and Wearne, S. L.  Neuronal firing sensitivity to morphologic and active membrane parameters.  PLoS Computational Biology 4(1): e11, doi:10.1371/journal.pcbi.0040011 (2008).
    3. Weaver, C. M. and Wearne, S. L.  The role of action potential shape and parameter constraints in optimization of compartment models.  Neurocomputing 69:  1053-1057, (2006).
    4. Weaver, C. M., Hof, P. R., Wearne, S. L., Lindquist, W. B.  Automated algorithms for multiscale morphometry of neuronal dendrites.  Neural Comput. 16: 1353-83, (2004).
    5. Weaver, C. M., Pinezich, J. D., Lindquist, W. B., Vazquez, M. E.  An algorithm for neurite outgrowth reconstruction.  J. Neurosci. Methods. 124: 197-205, (2003).
       

    Student Collaborations

    Daniel Hass (’13).  Spring 2010: Designing fitness functions for the optimization of neuron model parameters.  Summer 2010: The Applications of Neural Modeling in Researching Alzheimer’s Disease.  Funded by HHMI Program in Bioinformatics.

    Gregory Schwartz (’11). Summer 2010: The optimization and application of brain metabolite concentration algorithms for clinical use.  Funded by HHMI Program in Bioinformatics.
     

    Course Information

    MAT316, Probability & Statistics II, Spring 2011

    MAT216, Probability & Statistics I, Spring 2010; Spring 2011

    MAT110, Calculus II, Fall 2009; Spring 2010

    MAT109, Calculus I, Fall 2009