Summary
Michael Gao is a Principal AI Scientist at the Duke Institute for Health Innovation with a PhD in Biostatistics and a decade of experience translating machine learning into clinical impact. He has led development and deployment of 20+ real-time AI models—ranging from sepsis detection to ICU transfer prediction—that have influenced care for hundreds of thousands of patients and established internal tooling like AutoML pipelines, feature stores, and LLM frameworks. A hands-on leader and mentor, he builds cross-functional teams, authors guidelines for equitable AI in health systems, and runs a Generative AI group to responsibly integrate LLMs into clinical workflows. Beyond production models, he designs curricula and teaches data science for biomedical engineering, bringing academic rigor to practical, operational AI solutions.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Duke University
English, Chinese, French