Kara Rudolph is an associate professor and epidemiologic data scientist with 11 years of experience applying statistical methods, machine learning, and causal inference in R to improve public health. She holds a PhD in Epidemiology and advanced training in biostatistics from Johns Hopkins, and has combined academic roles at Columbia, UC Davis, and a Robert Wood Johnson fellowship at UC Berkeley. Her work bridges methodological rigor and real-world policy, informed by early roles in government health departments and industry at Merck and Altarum. She teaches and mentors in epidemiology and spatial analysis, and her research emphasizes reproducible, data-driven solutions to population health problems. Notably, she blends deep quantitative training with practical policy experience, enabling translational work that moves from methods to measurable public health impact.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Biochemistry, Bachelor of Science (BS), Biochemistry at University of Michigan
Doctor of Philosophy (Ph.D.), Epidemiology, Doctor of Philosophy (Ph.D.), Epidemiology at Johns Hopkins Bloomberg School of Public Health
Contributions:17 commits, 18 pushes, 2 branches in 4 years 10 months
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