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 Cell Aging 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