معرفی
Weipeng Zhou is a Postdoctoral Associate at the Yale School of Medicine within the Department of Biomedical Informatics and Data Science. Working under Professor Hua Xu, he specializes in pre-training and evaluating large medical language models using electronic health records and medical claims data. His work bridges Natural Language Processing, Biomedical Data Science, and Clinical Informatics to address critical healthcare challenges.
- PhD in Medical Informatics from the University of Washington (2025)
- Bachelor's in Computer Science and Statistics from the University of Wisconsin (2019)
His research involves NLP/LLM applications in healthcare domains such as:
- Long COVID characterization and prediction
- Cardiovascular disease analysis
- Suicide prevention through clinical text mining
- Clinical note section identification
- Emerging water contaminant detection via PubMed article analysis
His publications focus on model transferability, automated cohort discovery, and contextual health research tools. Notable collaborations include work with teams at University of Washington and Yale.
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