Natalie Goulett, MPH, is a Biological Scientist IV – Epidemiologist at the Florida Department of Health in Miami-Dade County specializing in injury epidemiology. She earned her Master of Public Health in Biostatistics from Florida International University (FIU). During her graduate studies, Natalie has researched public health issues such as the association between heavy metal exposure and Parkinson’s disease and the representation of minority groups in U.S. skin cancer clinical trials. She is passionate about the effective communication of vital information to her community.

Involvement: For her MPH practicum project, Natalie assisted Dr. Rose with the development and testing of his R package, REDCapSync, and later used it along with her own Shiny app to investigate the determinants of recurrence of Leiomyosarcoma.

Dr. Draper was raised in the Pacific North West before attending Duke University to complete a Bachelor of Science degree in Biology with Minors in Public Health and Chemistry. She then spent two years working in primary care in Asheville, North Carolina - solidifying her commitment to a public health mindset. This experience motivated her to pursue a dual MD/MPH degree at the University of Miami in Miami, Florida. 

Involvement: Helped guide the development of rosymap, an open-source R mapping package for exploring events of interest and exploring possible sites of intervention.

About Me: MD/MPH, Class of 2023, University of Miami Miller School of Medicine
Testimonial: Coding Docs helped me streamline and automate workflows for my lab.
My problem: During medical school, I had the opportunity to work on a large, CDC-funded cohort study that struggled to maintain effective communication with its participants. My fellow RAs and I were inundated with the construction of lists. We needed lists of participants who submitted samples, those who completed surveys, etc. Extracting, cleaning, and manipulating our data to create these lists was an error-prone and time-consuming effort. I reached out to Coding Docs to help us streamline our efforts.
TheCodingDocs Solution: One week later, we had built an R-script that was a single-click solution for pulling data from Redcap, filtering it, and ultimately, producing a table of participants who needed to be contacted because they were non-compliant in one of several areas.
Summary: Creating that list would require hours of work in Microsoft Excel (merging files, identifying duplicates, filtering blanks), but now it takes seconds. I can’t thank TheCodingDocs enough.