Yanjun Gao

Co-Director, Center For Health AI (CHAI) at University of Colorado Anschutz

Denver, Colorado, United States
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Summary

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Yanjun Gao is an assistant professor and Co-Director of the Center for Health AI at the University of Colorado Anschutz, specializing in clinical natural language processing and safe large language model development. With a PhD in Computer Science and Engineering from Penn State and over a decade of experience, she builds and evaluates novel NLP methods—spanning automated text-generation evaluation, semantic representations, and graph-based approaches—with direct applications in healthcare and critical care medicine. Her lab, Language, Reasoning and Knowledge (LRK), focuses on translating cutting-edge AI into practical, safety-minded tools for medicine while rigorously measuring their performance. After a postdoc in critical care data science at UW–Madison, she brings deep domain integration experience that bridges research rigor and clinical impact. Notably, she has worked on multimodal pipelines and emphasizes automated evaluation as a way to make generative models more reliable in high-stakes settings. Based in Denver, she combines academic leadership with hands-on research to shape safer, more interpretable AI for health.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor's Degree, Electronic Commerce, Bachelor's Degree, Electronic Commerce at Harbin Finance University
bookDoctor of Philosophy - PhD, Computer Science and Engineering, Doctor of Philosophy - PhD, Computer Science and Engineering at Penn State University
languagesEnglish, Japanese
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Stackoverflow

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Github Skills (36)

markdown10
seq2seq10
jekyll10
jekyll-theme9
github-pages9
html9
text-generation7
pytorch7
summarization7
image-text7
natural-language-processing6
bert6
machine-learning6
extraction6
medical5

Programming languages (6)

ShellCSCSSJavaScriptJupyter NotebookPython

Github contributions (5)

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serenayj/ABCD-ACL2021

May 2021 - Oct 2021

ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
Contributions:11 commits, 5 pushes, 4 comments in 4 months
graph-framework
Our weekly reading group where we discuss Reinforcement Learning approaches in the domain of Natural Language Processing.
Contributions:9 PRs, 15 pushes in 5 months
natural-language-processingreinforcement-learning
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