Rahul Shah

Biography
Rahul Shah is a healthcare data and artificial intelligence leader at Epic whose work spans the company’s Cosmos, genomics, and AI infrastructure. He has contributed to efforts that use large-scale, deidentified longitudinal health records to develop and evaluate models for clinical prediction, research, and decision support. Recent work from Epic has explored generative medical-event models trained on Cosmos data to learn patterns across diagnoses, medications, procedures, laboratory results, and other events in the patient journey. Mr. Shah has also discussed the opportunities and governance challenges involved in building health AI at population scale, including privacy, validation, clinical relevance, and responsible use. His work sits at the intersection of electronic health records, real-world evidence, genomics, and machine learning, with an emphasis on moving analytical capabilities closer to routine care. By connecting large clinical datasets with tools that clinicians and researchers already use, he helps advance practical applications of AI for personalized health prediction and evidence generation.

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