Wenyu Zeng

Wenyu Zeng

she/her

PhD student in Biomedical & Health Informatics at the University of Washington. My research focuses on building scalable computational pipelines that integrate spatial transcriptomics and single-cell sequencing data to study glioblastoma heterogeneity. I’m passionate about combining biomedical data science and translational research to better understand tumor biology and identify therapeutic targets. Beyond research, I enjoy data visualization, teaching, and exploring new ways to make complex data accessible and meaningful.

An Ontology-Guided Analysis to Unveil Disparities of Social History Documentation in Discharge Notes

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This study applies an ontology-based natural language processing framework to examine how social determinants of health are documented in clinical discharge notes. The work uncovers disparities in documentation patterns across demographic groups, underscoring the need for more equitable representation of patients’ social contexts in electronic health records.
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