I am a Biostatistician III at the Duke Clinical Research Institute, where I provide statistical support and insights to ongoing clinical research projects. I aim to use mathematics and statistics in a way that not only increases the availability of knowledge in these respective fields, but also improves the quality of public health in my community and abroad. I maintain fluency in R and MATLAB, but I also regularly use numerous other software packages, including ArcGIS, SAS, SPSS, and Stata.
As a Mathematics Ph.D. candidate at the University of Tennessee, I focused on modern computational statistics applications for high-dimensional datasets. My main research interests included mixture modeling (Bayesian and classical), developing model selection criteria, and variable subset selection techniques. My research projects led to 5 publications, as well as grants, fellowships, and scholarships totaling over $100,000. I had the opportunity to work with individuals from many backgrounds different from my own, including biologists, veterinarians, farmers, firefighters, and epidemiologists. These experiences gave me the opportunity to develop an ability to communicate my research in a way that is understandable, without understating its importance.