Public health data scientist focused on field-ready systems
I build data workflows for global health teams, from ODK collection through QA and reporting.
Based in Atlanta, open to public health data science and analytics roles.
What I am known for
Field operations experience
I have managed surveillance work in high-burden settings and built workflows that hold up under real field constraints.
Data quality discipline
I build validation and cleaning systems so teams can trust the data they use for decisions.
Clear communication
I translate technical work into plain language for program teams, leadership, and partner organizations.
Current focus
Improving data collection and reporting workflows so teams can move faster with fewer data issues.
Selected work
Projects
A few examples of my recent work in surveillance data systems, quality control, and reporting.
Guinea Worm data pipeline modernization
Designed and maintained an automated ODK API pipeline in R and Quarto for more than 10 Guinea Worm surveillance forms.
Geospatial reporting for GWEP
Produced publication-quality geospatial outputs for program reporting using WHO shapefiles and case line list data.
CDC MenAfriNet surveillance workflows
Supported meningitis surveillance analysis and bulletin production while modernizing legacy workflows.
Cloudburst data automation and accessibility
Developed reusable automation and de-identification workflows for client-facing public health and development projects.
Open to roles
Data scientist and public health analytics roles
I work at the intersection of analysis and operations, with a strong focus on data quality and usable reporting.