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.
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.
Differences in socio-demographic and environmental exposures at home vs. school in the ECHO cohort. Journal of Exposure Science and Environmental Epidemiology. 2026.
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