Summary
Esteban Correa is a bioinformatics and epidemiology data scientist with 11 years of experience building end-to-end EHR and claims data platforms, machine learning models, and geospatial analyses. Currently leading clinical data engineering and vocabulary strategy at Ethos, he architects Snowflake/DBT/Airflow pipelines and designs clinical concept hierarchies (SNOMED, ICD, RxNorm) that enable robust risk modeling and underwriting. His background blends a PhD in GIS and cartography with masters in image processing and a computer engineering foundation, giving him a rare mix of spatial, numerical, and signal-processing expertise applied to healthcare. Past roles include automating clinical ETL, developing prognosis models at Cincinnati Children’s, and shipping production-facing neuroimaging and mobile health tools in research and industry. He’s equally comfortable authoring PRDs and technical designs as he is coding advanced statistical models and interactive R Shiny visualizations. Notably, he pairs deep domain knowledge of medical coding with practical deployment experience across the AI lifecycle, from ingestion to validation.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Geographic Information Science and Cartography, 3.98, Doctor of Philosophy - PhD, Geographic Information Science and Cartography, 3.98 at Department of GIS
Bachelor’s Degree, Computer Science, 4.4/5.0, Bachelor’s Degree, Computer Science, 4.4/5.0 at Universidad Tecnológica de Pereira
Master's degree, Image processing, Master 2 Recherche Parcours Systemes et Images, Master's degree, Image processing, Master 2 Recherche Parcours Systemes et Images at Université Claude Bernard (Lyon I)
Universidad de los Andes
English, French, Spanish