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.
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Key: MeSH Term KeywordAntineoplastic Agents Asthma Biomarkers, Tumor Biometry Cell Count Cell Cycle Cell Line Cell Proliferation Cellular Structures Computational Biology Cytological Techniques Data Interpretation, Statistical Fluorescence Glucose Image Processing, Computer-Assisted Likelihood Functions Linear Models Longitudinal Studies Lung Neoplasms Microscopy, Fluorescence Models, Biological Models, Statistical Protein-Tyrosine Kinases Protein Kinase Inhibitors Quality Control Single-Cell Analysis Stochastic Processes Structure-Activity Relationship Time Factors Tumor Cells, Cultured