معرفی
Aiying Zhang is an Assistant Professor of Data Science at the School of Data Science, University of Virginia (UVA), where she conducts research at the intersection of data science and mental health. Her work integrates statistical modeling, multimodal neuroimaging, and genetics to study typical and atypical brain development.
Education:
- Ph.D. in Biomedical Engineering, Tulane University
- B.S. in Statistics, University of Science and Technology of China
Dr. Zhang's research focuses on developing data-driven methodologies using multi-level biological and behavioral data. Her expertise lies in graphical models and network science applied to psychiatric and neurological disorders. She aims to uncover the complex interactions within brain networks and their evolution across development.
Her prior experience includes a postdoctoral position as a Research Scientist at Columbia University and the New York State Psychiatric Institute, where she further developed her interdisciplinary research profile.
While no specific awards are listed, her ongoing collaborative projects reflect active engagement in high-impact mental health research.
Dr. Zhang advises students in data science and related fields, though specific advisees are not named. She is involved in research grants and collaborative initiatives focused on psychiatric and neurological disorders, leveraging advanced computational and statistical techniques.
She maintains an active research presence with a professional website, Google Scholar profile, and ORCID, and is contributing to the growing research portfolio of the School of Data Science at UVA.
