Yuan Zhang

Yuan Zhang works on statistical methods for analyzing complex networks and high-dimensional data, including models for social and brain networks, tensor decompositions, and multivariate statistical techniques applied to genetics and neuroimaging. Much of the work applies these methods to biomedical questions, such as linking brain connectivity patterns to health measures or analyzing genetic and metabolomic data. The research is methodological in nature, developing statistical theory and computational tools that are then demonstrated on real datasets from medicine and biology.

Publication output has grown from about 1 paper per year in 2017-2018 to a steadier pace of roughly 2-4 papers per year since 2021, suggesting a moderate and fairly consistent level of activity over the past decade.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026