Summary
Sangwon Lee is a cancer epidemiologist and data analyst with nine years of experience building standardized clinical databases and applying epidemiological, statistical, and machine learning methods to observational studies. Currently a PhD student at Seoul National University, he focuses on biostatistics, causal inference, survival analysis, and explainable AI. At the National Cancer Center Korea he led CDW data quality, multi-institutional cancer data standardization across many tumor sites, and SNOMED CT implementation—bridging EMR/EHR systems with research-ready datasets. His earlier work at the New York State Cancer Registry sharpened his skills in population-data validation and neighborhood-level cancer incidence mapping. Known for turning messy clinical data into reproducible analytic platforms, he combines domain expertise with practical data-engineering and predictive-modeling skills.
9 years of coding experience
Master of Science - MS, Epidemiology, Master of Science - MS, Epidemiology at University at Albany, SUNY
English