Bio
My methodological research focuses on the theory and applications of machine learning in causal inference. Specific areas of interest include vaccine statistics, competing risks, complex longitudinal data, and theory of robust nonparametric statistical inference. My collaborative research includes work on preventive vaccines, tuberculosis, and HIV prevention.
Areas of Interest
- HIV/AIDS Prevention
- Infectious Disease
- Vaccines
- Survival Analysis
- Machine Learning
- Causal Inference
Education
- B.S., University of Georgia
- MPH, University of Georgia
- PhD., University of Washington
Courses Taught
- DATA 550 - Data Science Toolkit
- DATA 555 - Current Topics in Data Science