Michael Gao
Principal AI Scientist at Duke Institute for Health Innovation
Durham, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolMichael 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.
10 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
Github Skills (25)
ide9
development-environment9
representations8
arrows8
vscode7
icd7
python7
browser6
vscode-extension6
javascript6
vscode-remote5
machine-learning4
decoding4
jupyter-notebook3
data-science3
Programming languages (5)
Github contributions (5)
dihi/icd_feature_engineering
Feb 2019 - Aug 2020
:arrows_counterclockwise: Reproduce Machine Learning experiments with different ICD code representations
Contributions:69 commits, 2 PRs, 51 pushes in 1 year 6 months
arrowsrepresentationsdata-sciencemachine-learningreproduce
dsahduke/Numpy-Pandas
Aug 2018 - Feb 2021
Contributions:3 pushes, 1 branch in 2 years 5 months
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