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
10 years of employment as a software developer
Doctor of Philosophy - PhD, Geographic Information Science and Cartography, Doctor of Philosophy - PhD, Geographic Information Science and Cartography at University of Cincinnati
Bachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Universidad Tecnológica de Pereira
Master's degree, Image processing, Master's degree, Image processing at Université Claude Bernard Lyon 1
Universidad de los Andes
English, French, Spanish