As a biostatistician, epidemiologist and geospatial data scientist, I specialize in informatics and machine learning, with applications to population-level environmental, community and health outcome data.
I have been a researcher for more than eight years and began working at Cincinnati Children’s in 2016.
BS: Biomedical Engineering, University of Cincinnati, Cincinnati, OH, 2010
PhD: University of Cincinnati, Cincinnati, OH, 2016
Postdoctoral Research Fellowship: Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 2017
Developing new methods and technologies to support environmental and population health research; tools for geocoding and geomarker assessment; high resolution spatiotemporal exposure assessment models; causal inference machine learning methods; roles of environmental exposures; community characteristics on pediatric psychiatric health; electronic health records, observational cohort studies, clinical registries, and vital records.
Differences in socio-demographic and environmental exposures at home vs. school in the ECHO cohort. Journal of Exposure Science and Environmental Epidemiology. 2026; 36(5):919-928.
Climate Change and Pediatric Population Health Management. Pediatric Clinics of North America. 2026; 73(3):661-685.
Building Enhanced Public Health Data Systems With a Situational Awareness and Learning Tool: Focus Group Study. Online Journal of Public Health Informatics. 2026; 18:e77379.
Association Between Chronic Ambient Fine Particulate Matter and Recurrence Risk in Sinonasal Inverted Papilloma. International Forum of Allergy and Rhinology. 2026; 16(4):422-425.
Acute exposure to fine ambient particulate matter and pulmonary exacerbations in cystic fibrosis: A case-crossover study. Atmospheric Environment: X. 2026; 29.
An open-source application for self-service, Health Insurance and Portability Accountability Act-compliant geocoding. Journal of Clinical and Translational Science. 2026; 10(1):e17.
Precision risk assessment for pediatric hospitalization using address-level data in Cincinnati, Ohio. Journal of Clinical and Translational Science. 2026; 10(1):e75.
Comparing machine and deep learning models for pediatric anxiety classification using structured EHRs and area-based measures of health data. PLoS ONE. 2026; 21(5):e0324673.
Evaluating Linkage Approaches for Address-Level Socioenvironmental Exposure Assessment. AMIA Joint Summits on Translational Science proceedings AMIA Summit on Translational Science. 2026; 2026:183-192.
710 Near-road air pollution inhibits long-term modulator effectiveness. Journal of Cystic Fibrosis. 2025; 24:s425-s426.
Cole Brokamp, PhD7/27/2026
Cole Brokamp, PhD1/22/2025
Cole Brokamp, PhD11/27/2024
Cole Brokamp, PhD, Assem G. Ziady, PhD ...5/17/2021
Cole Brokamp, PhD, Nicholas Newman, DO, MS, FAAP ...3/24/2021