Yihui Zhou

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

• 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)
• Genetic variation in severe cystic fibrosis liver disease is associated with novel mechanisms for disease pathogenesis , HEPATOLOGY (2024)
• Hazard and risk characterization of 56 structurally diverse PFAS using a targeted battery of broad coverage assays using six human cell types , TOXICOLOGY (2024)
• Liver eQTL meta-analysis illuminates potential molecular mechanisms of cardiometabolic traits , AMERICAN JOURNAL OF HUMAN GENETICS (2024)
• Predicting Microbiome Growth Dynamics under Environmental Perturbations , Applied Microbiology (2024)
• AI in healthcare: navigating opportunities and challenges in digital communication , FRONTIERS IN DIGITAL HEALTH (2023)
• Association of Pseudomonas aeruginosa infection stage with lung function trajectory in children with cystic fibrosis , JOURNAL OF CYSTIC FIBROSIS (2023)
• Genetic Modifiers of Cystic Fibrosis Lung Disease Severity , AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2023)