Jacqueline

E.

Rudolph

,

PhD

My research has largely sat at the intersection of causal inference and epidemiologic methods with substantive questions, with work spanning the areas of HIV/AIDS, environmental, and reproductive epidemiology. I am broadly interested in the application of advanced methods to overcome the challenges encountered in complex longitudinal data, such as competing events, time-varying data structures, and generalizability. For example, my post-doctoral work centered on different methodological complications surrounding per-protocol analyses in the Effects of Aspirin in Gestation and Reproduction trial. Currently, I am pursuing similar work within the context of HIV/AIDS observational cohort studies, focusing on the intersection of HIV and chronic comorbidities. I am also dedicated to the dissemination of novel, advanced methods within the epidemiologic community – making these methods more accessible to use while also making their theory, strengths, and weakness better understood. To me, an incredibly important part of this is consistently rooting these methods within the broader context of the causal inference roadmap, both in my own research and when communicating these ideas to others.