I am a public health researcher currently working as a Postdoctoral Fellow in the Johns Hopkins Bloomberg School of Public Health Department of Biostatistics. My research agenda is guided by the motivation to improve lives by generating actionable evidence that informs disease prevention, treatment, and overarching policy to maximize public health impact. To do so, I utilize advanced epidemiological and statistical causal inference methods with real-world data to understand and inform disease treatment and prevention efforts, particularly for infectious diseases (such as HIV and TB) in high-burden global contexts. I have experience using a range of research methods to examine social determinants related to disease prevention and using causal inference statistical methods in multiple infectious disease contexts.
