Cole Brokamp

I am an Associate Professor, biostatistician, epidemiologist, and data scientist with an established research program at the intersection of place-based data science, environmental epidemiology, pediatric population health, and fairness in precision medicine. My work develops reproducible methods and infrastructure for linking environmental, social, economic, housing, and clinical data at the spatial and temporal scales needed to understand child health. I have led the development of privacy-preserving geomarker platforms, high-resolution spatiotemporal exposure models, community deprivation measures, and causal inference approaches that can be applied to electronic health records, clinical registries, observational cohorts, and public health data systems.

My scientific program is organized around a central goal: transforming complex place-based data into valid, scalable, and equitable evidence for pediatric health. I have applied this framework to study pediatric mental health, asthma, hospitalization inequities, blood lead risk, cystic fibrosis, and the fairness of prediction and exposure-assessment tools. These projects have required sustained collaboration across environmental health, pediatrics, psychiatry, pulmonology, biomedical informatics, public health, and community-facing population health programs. Across this work, I aim to ensure that precision population health tools are not only technically accurate, but also interpretable, transportable, and equitable across populations and settings.