Qiao Jin
Research Fellow at JMIR Publications
Rockville, Maryland, United States
Summary
👤
Senior🎓
Top SchoolQiao Jin is a medically trained AI researcher and Research Fellow at the National Library of Medicine, NIH, with eight years of experience applying NLP and retrieval-augmented generation to evidence-based medicine and clinical trial matching. Trained in the Tsinghua 8-year BSc–MD program, they bridge clinical insight and cutting‑edge AI, contributing to high-profile projects covered by NIH and published across Nature journals. Their work spans practical tools like MedRAG, TrialGPT, GeneGPT and agent-based systems that improve biomedical retrieval, evaluation, and patient-to-trial matching. Previously embedded in industry (Alibaba DAMO) and academic labs in the US and China, they combine production-oriented research with rigorous evaluation of LLM safety and medical reasoning. An associate editor for JMIR Publications, Qiao brings rare dual fluency in medicine and machine learning that accelerates translational impact.
8 years of coding experience
4 years of employment as a software developer
Doctor of Medicine, 91.15, 2/32, Doctor of Medicine, 91.15, 2/32 at Tsinghua University
Chinese, English
Github Skills (41)
science9
nlp8
generative-model8
biomedical8
representations8
ai8
natural-language-processing8
biomedical-text-mining8
pytorch7
survey7
mining7
deep-learning7
python7
text-mining7
bioinformatics6
Programming languages (3)
Github contributions (5)
Andy-jqa/bioelmo
Apr 2019 - Dec 2019
Contributions:24 commits, 11 pushes, 3 comments in 8 months
ncbi/GeneGPT
Jul 2023 - Jun 2024
Code and data for GeneGPT.
Contributions:1 review, 1 PR, 5 pushes in 11 months
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