Zuoheng Anita Wang, PhD

Dr. Wang is a Professor of Biostatistics, Computational Biology and Bioinformatics, and Biomedical Informatics & Data Science at Yale University. Her research focuses on statistical modeling of omics and healthcare data. Dr. Wang’s statistical expertise spans kernel machine methods, mixed effects models, correlated and longitudinal data analysis, machine learning, and network analysis. She develops innovative statistical methods and computational tools for large-scale biomedical studies and electronic health records data, including disease risk prediction, genetic susceptibility variant identification, and single-cell and spatial transcriptomic data analysis, with application in mental health, addiction, cancer, autism, lung and cardiovascular diseases, contributing to the understanding of disease pathogenesis.