Brian E. Dixon, PhD is a nationally recognized expert in applying artificial intelligence, advanced analytics, and large-scale data integration to improve population health and health system decision-making. His work focuses on transforming complex, real-world data—particularly electronic health records, administrative claims, and public health surveillance data—into actionable insights that support policymakers, health systems, technology developers, and public agencies.
Dr. Dixon specializes in AI-enabled analytics for population-level datasets, including machine learning for disease surveillance, computable phenotypes, longitudinal cohort construction, and real‑world evidence generation. He has led and collaborated on numerous large, multi-site initiatives that leverage interoperable data infrastructure and modern analytics to address pressing challenges such as chronic disease surveillance, vaccine effectiveness and safety, maternal and child health, health equity, and post‑COVID conditions. His expertise spans the full analytic lifecycle—from data governance and interoperability standards to model development, validation, and translation into operational decision support.
As Director of the Center for Biomedical Informatics at Regenstrief Institute and a professor at Indiana University's Fairbanks School of Public Health, Dr. Dixon brings deep experience partnering with industry, government, and nonprofit organizations to co-design scalable analytics solutions. He is particularly well suited for collaborations that require rigorous analytics applied to complex, population-scale data, thoughtful integration of AI into real-world workflows, and a strong understanding of regulatory, ethical, and stakeholder considerations.
Dr. Dixon is committed to partnerships that move analytics and AI beyond proof‑of‑concept toward measurable, real‑world impact.
1. The partner sought to understand the impact of their vaccine product in the real-world a year after approval and marketing. We developed and analyzed a RWE dataset to examine the impact of the product. We provided a report of our findings to the partner and co-published a scientific manuscript with the findings demonstrating effectiveness of the project.
2. The partner sought to create an analytics dashboard for a disease in an underserved population. Together, with community and public organizations, we created visualizations to examine the disease burden and outcomes of interest. These were put onto a dashboard and made publicly available. The partner continues to ask us to update the dashboard once per year. The dashboard is located here: https://www.regenstrief.org/sickle-cell-dashboard/
