Summary
Jason Vargo is a senior researcher in community development based in the San Francisco Bay Area with 11 years of experience at the intersection of public health, climate science, and data-driven policy. He has led statewide modeling and decision-support efforts—most notably co-leading California’s COVID-19 modeling and product-managing CalCAT—and builds reproducible analytical platforms that translate complex climate and health data into actionable tools. His work spans geospatial analysis, downscaled climate data, machine learning, and interactive R/Shiny dashboards, and he has overseen the end-to-end development of the California Climate Exposures Database. Jason combines academic rigor (PhD in City & Regional Planning, MPH) with practical program delivery across state agencies and universities, and is known for institutionalizing best practices like version control, cloud workflows, and open-source tooling. An oft-overlooked strength is his ability to bridge technical model development with stakeholder-facing communication, turning high-resolution science into usable policy metrics such as California’s Health Equity Metric.
11 years of coding experience
13 years of employment as a software developer
BSE, Chemical Engineering, BSE, Chemical Engineering at University of Michigan
MCRP, Environmental Planning, MCRP, Environmental Planning at Georgia Institute of Technology
MPH, Global Environmental Health, MPH, Global Environmental Health at Emory University