Summary
John Schrom is a Senior Data Specialist with 11 years of experience applying public health, biomedical informatics, and software engineering to improve community health outcomes. He designs cloud-native data pipelines, FHIR-compatible infrastructure, and dashboards that turn heterogeneous clinical and public health data into actionable insights, and his work on HIV, COVID-19, and TB projects has contributed to publications in top journals and coverage in national media. John blends rigorous epidemiology and machine learning—ranging from regression and Bayesian methods to neural nets and association rule mining—with hands-on deployment and ETL work to accelerate intervention development and uptake. He has led impactful initiatives across academia, county health departments, large health systems, and startups, and has a track record of translating analytics into measurable clinical improvements and operational tools (including a provisional patent at One Medical). Based in Sausalito, he pairs an MPH in epidemiology and quantitative training from Johns Hopkins with a pragmatic focus on interoperability and technology that strengthens real-world social connections for healthier communities.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science - BS Chemistry and Biology, Bachelor of Science - BS Chemistry and Biology at University of Minnesota
Johns Hopkins University
Master of Public Health - MPH Epidemiology, Master of Public Health - MPH Epidemiology at University of Illinois Chicago