Megan Hoopes

Megan Hoopes has centered her career on promoting the health needs of medically underserved communities and socioeconomically disadvantaged populations. As a community-based researcher specializing in quantitative methods, she has expertise in health policy, public health, and surveillance applications in a range of focus areas including tribal health, cancer, maternal and child health, and health-related social needs.

At Mathematica, Hoopes focuses on analytics related to Medicaid and CHIP (Children’s Health Insurance Program), serving as client and content lead for public reporting, internal monitoring products, and ad hoc analytics on the Medicaid and CHIP Learning Collaborative contract funded by the Center for Medicaid and CHIP Services. In this role, she and her team use data from Medicaid, Medicare, the Federally Facilitated Marketplace, state-based exchanges, and commercial insurers to generate insights and improve outcomes. She also co-leads the Virtual Research Data Center Innovator program, which provides access to national Medicaid and Medicare data on cost and quality of care across payers, providers, and populations through Mathematica’s Data Innovation Lab.

Before joining Mathematica, Hoopes served as director of data science and research analytics at OCHIN, overseeing a large team of data experts supporting dozens of federally funded research studies and infrastructure projects focused on patients in Federally Qualified Health Centers. Prior to this position, she worked at the Northwest Portland Area Indian Health Board, leading work to identify racial misclassification of American Indian and Alaska Native people in regional surveillance systems and producing race-corrected public health data to inform health decision making for tribal communities.

Hoopes holds a master of public health degree in epidemiology and biostatistics from Oregon Health and Science University.