Public Health Informaticist & Epidemiologist
Bridging the gap between infectious disease surveillance and modern data engineering — building the pipelines that power population-scale public health decisions.
About
I'm an epidemiologist and pipeline developer at the Washington State Department of Health, where I specialize in transforming fragmented disease surveillance data into clean, scalable, and actionable information systems.
With a Master of Public Health and deep expertise in workflow automation, data consulting, and data engineering, I work at the intersection of infectious disease epidemiology and modern software practices — making public health infrastructure more resilient, transparent, and responsive.
Experience
Designing and maintaining scalable ETL pipelines for notifiable disease surveillance across Washington State. Leads data integration, optimizes collection workflows, and applies software engineering practices — CI/CD, version control, API integrations — to public health data infrastructure.
Delivered data consulting services for infectious disease programs, translating complex surveillance needs into reproducible analytical workflows and reporting systems. Provided technical guidance on outbreak data quality, system interoperability, and automation strategy.
Graduate training in epidemiology, biostatistics, and public health systems — building the methodological foundation for a career in applied infectious disease surveillance, data analysis, and population health informatics.
Accomplishments
Implemented scalable ETL pipelines that streamlined data integration and optimized collection for notifiable diseases across all of Washington State — improving the speed and reliability of outbreak surveillance.
Applied modern software engineering practices — Python, R, CI/CD, GitHub, REST APIs — to automate previously manual public health data workflows, dramatically reducing turnaround times for epidemiologic reporting.
Served as a technical advisor and data consultant across infectious disease programs, helping public health teams design sustainable informatics solutions tailored to their operational realities.
Applied epidemiologic and informatics expertise directly to outbreak response contexts, ensuring data systems remain functional, accurate, and actionable during high-pressure public health emergencies.
Engineered integrations between disparate public health data sources, enabling seamless information flow across agencies, laboratories, and reporting systems — turning siloed records into unified surveillance intelligence.
Bridges the technical and epidemiologic communities — communicating complex data infrastructure needs to non-technical stakeholders while delivering solutions that meet rigorous public health standards.
Contact
Interested in public health informatics, pipeline development, or epidemiologic data systems? I'm always open to conversations about improving surveillance infrastructure and making public health data work harder.
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