Michael Gao

Principal AI Scientist at Duke Institute for Health Innovation

Durham, North Carolina, United States
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Summary

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Senior
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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.
code11 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Duke University
languagesEnglish, Chinese, French
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Github Skills (21)

vscode9
development-environment8
ide8
icd7
python7
cran5
vscode-remote5
data-science4
decoding4
jupyter-notebook3
machine-learning3
validation3
pandas2
pdf2
jupyter2

Programming languages (5)

TypeScriptRGoJupyter NotebookPython

Github contributions (5)

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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
machine-learning
dsahduke/Numpy-Pandas

Aug 2018 - Feb 2021

Contributions:3 pushes, 1 branch in 2 years 5 months
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