I am a PhD level epidemiologist with expertise in R programming and statistical analysis, scientific writing, project management, and grant writing. I focus on how different exposures contribute to cardiovascular disease at the population health level using clinically relevant outcomes such as traditional and subclinical risk factors, and hospitalizations and mortality.
- 🔬 BA-Chemistry, MPH, PhD Public Health Sciences - bench -> clinic -> population research
- 📊 Passionate about actionable science and evidence-based solutions to improve health and reduce unnecessary exposures.
- 📝 Published researcher in epidemiology, environmental health sciences, disaster research, and cardiovascular disease.
- Languages: R, SAS, SPSS, SQL, Python, ArcGIS, QGIS, C C++, Shell scripting
- Tools: RStudio, tidyverse, ggplot2, sf
- Methods: Statistical modeling, machine learning, causal inference, data visualization
Check out my pinned repositories below for examples of my work!
- 💼 LinkedIn: https://www.linkedin.com/in/katlynemcgraw/