Jon Downs Email & Phone Number

Washington, United States

Tumwater, Washington, United States

Automated business processes, modeled mortality trends during COVID-19, and trained large language models to predict cause of death codes.- Analyzed excess death during the COVID-19 era and found 10,000+ more deaths than expected from historical trends, mostly in low-vaccination areas.- Delivered conference presentations and a written report to disseminate excess death findings- Trained a large language model for death ICD-10 coding that achieved 90% accuracy in test data.- Developed procedures to securely geocode addresses of 11.8 records.- Utilized address correction API to automate resolution for 29% of data entry errors.- Automated the delivery of 90+ reports for federal, local, and private partners.

Seattle, Washington, United States

Provided database design and coding support to an experimental risk stratified payment model for mental health services. Evaluated novel behavioral health programs.- Developed dashboards and other visualizations to track progress on key performance indicators such as timeliness of data and hospitalization trends.- Cleaned, analyzed, and mined data in support of a new payment model.- Wrote clear technical documentation of new procedures and reviewed these documents with a mental health provider network.- Predicted which clients would use crisis services 5+ times in the next six months using random forest models.

Olympia, Washington

Streamlined and expanded analysis tools for state programs to provide payment assistance for drugs to prevent and treat HIV/AIDS. Improved reporting pipelines.- Analyzed charge codes, CPT codes, prescription utilization, and diagnosis codes in a state HIV medical claims program.- Quantified staffing time required to address processing backlogs in medical claims.- Analyzed claims data to identify why dental claims costs were growing quickly.- Performed probabilistic matching of client data using Link Plus, SAS, and R.- Mapped county-level incidence of sexually transmitted infections using ArcGIS.

Greater Atlanta Area

Improve analytical pipelines via automation. Performed literature reviews, scientific writing, and peer reviews to advance behavioral health science in traffic safety.- Improved efficiency of data pipelines with SQL-like SAS procedures.- Wrote methods section of scientific article on traffic safety in rural and urban areas- Performed logistic and Poisson regression analyses- Used multiple imputation to handle missing survey response data.- Performed qualitative analysis of short answer responses to evaluate an educational pamphlet

Master’S Degree, Epidemiology

Bachelor’S Degree, Biology/Biological Sciences, General