Yihui Zhou
Z
Bio
An interdisciplinary scholar, Yihui’s research intersects medicine, public health, and environmental health, utilizing sophisticated statistical and machine-learning methodologies. Her dry lab is distinguished for its cutting-edge work in computational toxicology, microbiome research, and cystic fibrosis. We specialize in dissecting high-dimensional biomedical data, encompassing electronic health records and next-generation sequencing, to illuminate the complexities of human health and disease. Our work stands as a testament to the power of interdisciplinary research in advancing healthcare frontiers.
Publications
- Computation of Ancestry Scores with Mixed Families and Unrelated Individuals , Oxford University Press (OUP) (2025)
- Detecting Algorithmic Bias in ICU Clinical Decision: A Doubly-Robust Framework for Auditing Treatment Recommendation Disparities , (2025)
- Genetic Modifiers of Cystic Fibrosis Lung Disease Severity: Whole-Genome Analysis of 7,840 Patients. , American Thoracic Society (2025)
- HAP-SAMPLE2: data-based resampling for association studies with admixture , BIOINFORMATICS (2025)
- Identifying novel therapeutic targets in cystic fibrosis through advanced single-cell transcriptomics analysis , Computers in Biology and Medicine (2025)
- MagicalRsq: Machine-learning-based genotype imputation quality calibration , Elsevier (2025)
- Organophosphate Flame Retardants Disrupt Autism-Relevant Gene Networks Across Development: A Cross-Species Multi-Omics Study , ENVIRONMENTAL RESEARCH (2025)
- Characterizing PFAS hazards and risks: a human population-based in vitro cardiotoxicity assessment strategy , HUMAN GENOMICS (2024)
- Control of false discoveries in grouped hypothesis testing for eQTL data , BMC BIOINFORMATICS (2024)
- Control of false discoveries in grouped hypothesis testing for eQTL data , Springer Nature (2024)