Yue Guo
614 E. Daniel Street
Room 4131
Champaign, IL 61820
Assistant Professor @ UIUC. Previously: UW/AI2/Google/MSR/JHU.
Assistant Professor, School of Information Sciences
Affiliate, Siebel School of Computing and Data Science
Affiliate, Health Care Engineering Systems Center
Hello! I am specializing in Health Informatics and Natural Language Processing (NLP). My research focuses on leveraging AI/NLP to enhance the accessibility and personalization of health information, bridging the gap between complex medical knowledge and diverse healthcare consumers, clinicians, and researchers. Trained as a physician and epidemiologist before transitioning to health informatics, I bring a multidisciplinary perspective to AI-driven solutions in medicine.
Ongoing projects:
- 🏥 Health Information Accessibility & Personalization
- 🩺 LLM Reasoning
- 🤖 Trustworthy AI for Medical Applications
I will be recruiting multiple PhD and master students from the iSchool (primarily) and CS programs starting in Fall 2027. If you’re interested in working with me, please read through mentorship section carefully and complete the Google form. Please note that I will not be responding to emails regarding applications. I’m always excited to hear from motivated students! 🎓✨
news
| Apr 30, 2026 | Check our two recent papers published in the Journal of Biomedical Informatics: one proposing a new factual consistency evaluation metric for biomedical plain language summarization (link), and another conducting human cross-evaluation to assess whether simple prompting improves laypeople’s understanding of health information (link). |
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| Sep 20, 2024 | Excited to share that our paper for plain language summarization evaluation has been accepted to #EMNLP2024! 🌟 I’ll be in Miami for the conference—feel free to reach out if you’d like to chat! 📩 |
| Jan 15, 2024 | |
selected publications
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Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluationarXiv preprint arXiv:2505.10409, 2025