Leads a wide range of research projects spanning image acquisition, reconstruction, quality control, processing, and analysis, with applications to neuroscience, radiomics, and surgical planning.
Studying aging and child development through statistics, biostatistics, medical imaging, genetics and computational neuroscience, and neuroimaging data analysis.
Co-Director, Program on Aging, Disability, and Long-Term Care, Cecil G. Sheps Center for Health Services Research; and Director of Aging Research, School of Social Work
Dr. Zou’s research interests lie in the development and examination of the theoretical methodologies and statistical properties appropriate for the interpretation of genetic data. Her current research focuses on developing machine learning algorithms, such as deep learning, for big EHR data and high-dimensional genetic and genomic data.