Research Assistant — EPIC data collection, harmonization, and curation to train AI/ML models
Collected EPIC clinical data and harmonized datasets to support training of AI and machine learning models in an academic translational research environment. Performed retrospective E/M code screening to structure clinical data for downstream analysis and model training. Worked with graduate students and faculty to ensure the data met research and curation needs for AI/ML use. • EPIC data extraction and dataset harmonization • E/M code collection and screening for retrospective analyses • Collaboration with research stakeholders to support AI/ML training • Contribution to publication-ready research outputs derived from curated data