Skip to Main Content

Zuoheng Anita Wang, PhD

Associate Professor of Biostatistics; Associate Professor, Biomedical Informatics & Data Science

Contact Information

Zuoheng Anita Wang, PhD

Office Location



Dr. Wang is Associate Professor of Biostatistics and of Biomedical Informatics and Data Science at Yale University. Her research focuses on combining genetics, genomics, immunology, and statistical modeling to answer biologically important questions in genetic epidemiological studies. Dr. Wang's statistical expertise lies in longitudinal data analysis, varying coefficient models, mixed effects models, kernel machine methods, mediation analysis, machine learning methods, and network analysis. She 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.

Education & Training

  • PhD
    University of Chicago (2009)
  • MS
    University of Florida (2004)
  • BS
    University of Science and Technology of China (2001)

Departments & Organizations