Shawn Garbett
Last active: 8/13/2013

Profile

My formal training has been in the fields of statistics, electrical engineering and computer science with a focus on predictive modeling and differential equations. I started over five years ago at the Vanderbilt University Medical Center to apply my experience and abilities in mathematical modeling of cancer processes. I am focused on how modeling can provide unique insight into the cancer problem and lead to new and innovative treatments. In particular, I am studying the effects of heterogeneity in a cellular populations on outcomes of tumor treatment. Secondly, I hypothesize that understanding the biochemical underpinnings of this heterogeneity, in particular where it makes a difference in treatment outcomes is critical to improving patient outcomes. To this end, I am applying probability and statistics to model reduction of chemical kinetics networks and working with experimentalists to validate findings. I am honored by this opportunity to contribute my skills to improving patients lives.

Publications

The following timeline graph is generated from all co-authored publications.

Most recent publication(s) are shown below:

  1. Outcome vector dependent sampling with longitudinal continuous response data: stratified sampling based on summary statistics. Schildcrout JS, Garbett SP, Heagerty PJ (2013) Biometrics 69(2): 405-16
    › Primary publication · 23409789 (PubMed) · PMC3880022 (PubMed Central)
  2. Fractional proliferation: a method to deconvolve cell population dynamics from single-cell data. Tyson DR, Garbett SP, Frick PL, Quaranta V (2012) Nat Methods 9(9): 923-8
    › Primary publication · 22886092 (PubMed) · PMC3459330 (PubMed Central)
  3. The contribution of age structure to cell population responses to targeted therapeutics. Gabriel P, Garbett SP, Quaranta V, Tyson DR, Webb GF (2012) J Theor Biol : 19-27
    › Primary publication · 22796330 (PubMed) · PMC3592383 (PubMed Central)
  4. Development of high-throughput quantitative assays for glucose uptake in cancer cell lines. Hassanein M, Weidow B, Koehler E, Bakane N, Garbett S, Shyr Y, Quaranta V (2011) Mol Imaging Biol 13(5): 840-52
    › Primary publication · 20809209 (PubMed) · PMC3627351 (PubMed Central)
  5. Not all noise is waste. Quaranta V, Garbett SP (2010) Nat Methods 7(4): 269-72
    › Primary publication · 20354516 (PubMed)
  6. Trait variability of cancer cells quantified by high-content automated microscopy of single cells. Quaranta V, Tyson DR, Garbett SP, Weidow B, Harris MP, Georgescu W (2009) Methods Enzymol : 23-57
    › Primary publication · 19897088 (PubMed) · PMC2915824 (PubMed Central)