Qingyu Chen, PhD
Assistant Professor of Biomedical Informatics and Data Science · Yale School of Medicine · Yale University
Quick answer: Qingyu Chen, PhD is Assistant Professor of Biomedical Informatics and Data Science at Yale University. Qingyu Chen, PhD shows an active PhD hiring signal as of 2026-09-11.
⭐ We have open positions and welcome inquiries from talented and motivated students, postdocs, and collaborators. Please read this page before emailing me so that we can quickly determine whether there may be a good fit.
Research interests
Our research focuses on the development, evaluation, and trustworthy use of AI in medicine. We work across language, imaging, and multimodal health data, with particular interests in biomedical NLP, medical LLMs, multimodal and foundation models, ophthalmology and medical imaging AI, and rigorous evaluation for real-world applications in biomedicine and healthcare.
Selected publications (since 2023)
[2026] LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology. Qin Z, Liu Y, Yin Y, Ding J, Zhang H, Li A, Campbell D, Wu X, Zou K, Keenan T, Chew E, Lu Z, Tham Y, Liu N, Zhang X, Chen Q. ACM Transactions On Computing For Healthcare 2026 DOI: 10.1145/3801746.
[2025] Integrating rule-based NLP and large language models for statin information extraction from clinical notes. Liu S, McCoy A, Chen Q, Wright A. International Journal Of Medical Informatics 2025, 205: 106104. PMID: 40925145, PMCID: PMC12705237, DOI: 10.1016/j.ijmedinf.2025.106104.
Frequently asked questions
Is Qingyu Chen, PhD hiring PhD students at Yale University?
Yes. As of 2026-09-11, Qingyu Chen, PhD's faculty page shows a PhD hiring signal: We have open positions and welcome inquiries from talented and motivated students, postdocs, and collaborators. Please read this page before emailing me so that we can quickly determine whether there .
What does Qingyu Chen, PhD research?
Our research focuses on the development, evaluation, and trustworthy use of AI in medicine. We work across language, imaging, and multimodal health data, with particular interests in biomedical NLP, medical LLMs, multimodal and foundation models, ophthalmology and medical imaging AI, and rigorous ev
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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