Sunny Chung

Sunny Chung is a gastroenterologist and clinical informatics researcher at Yale School of Medicine whose work focuses on improving complex, high-impact decision-making in gastroenterology. He completed his medical training at Yale, internal medicine residency at Duke University Hospital, and fellowship in gastroenterology at Yale, where he also earned a Master of Health Science in Clinical Informatics.

Dr. Chung’s research integrates generative artificial intelligence, machine learning, and implementation science to modernize the way clinicians use real-world data and clinical evidence, particularly in scenarios where uncertainty is high and decisions carry significant consequences. His work includes developing LLM-based feature extraction pipelines, dynamic risk models, simulation-based evaluations of human–AI interaction, and tools that enhance guideline operationalization and evidence synthesis across a range of GI conditions.

He is the recipient of national recognition as an American Gastroenterological Association (AGA) Innovation Fellow and an American Society for Gastrointestinal Endoscopy (ASGE) AI Scholar. His work has been published in leading journals including Gastroenterology and npj Digital Medicine, and he serves as an Editorial Fellow for Clinical Gastroenterology and Hepatology.

Dr. Chung’s broader goal is to advance the safe, equitable, and clinically meaningful integration of AI in medicine, bridging clinical expertise, data science, and health policy to redesign how gastroenterology makes critical decisions and applies evidence in practice.