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Zuoheng Anita Wang, PhD

Associate Professor of Biostatistics

Contact Information

Zuoheng Anita Wang, PhD

Research Summary

Dr. Wang's research focuses on combining genetics, genomics, immunology, and statistical modeling to answer biologically important questions in genetic epidemiological studies. Her statistical expertise lies in longitudinal data analysis, varying coefficient models, mixed effects models, kernel machine methods, mediation analysis, machine learning methods, and network analysis. Dr. Wang develops statistically innovative methods and computationally efficient tools in large-scale genetic and genomic studies to identify genetic susceptibility variants and advance the understanding of the etiology of complex diseases including breast cancer, alcohol and drug abuse, asthma, autism, obesity, lung and cardiovascular diseases. Current studies include using next-generation sequencing data to detect rare genetic variants in longitudinal genetic studies, combining knowledge in genomics and immunology to understand the risk of breast cancer survival, addressing statistical challenges in single-cell RNA sequencing data and spatial transcriptomics, and machine learning for risk prediction in electronic health records data.

Specialized Terms: Longitudinal data analysis; Varying coefficient models; Mixed effects models; Kernel machine methods; Mediation analysis; Machine learning methods; Network analysis; Whole genome sequencing; Bulk and single-cell RNA sequencing; Spatial transcriptomics; Biomarker studies; Electronic health records


Research Interests

Genetics; Biomarkers; Statistics; Genomics

Public Health Interests

Bioinformatics; Biomarkers; Cancer; Genetics, Genomics, Epigenetics

Selected Publications