Professor Zhang and members in his center conduct research in both the general area of regression and classification analyses and the methodologies for post-genome data analyses. In particular, with funding from multiple National Institutes of Health (NIH) grants, his group has been developing and implementing flexible and powerful approaches to the analyses of complex data including longitudinal data with multi- dimensional responses, neuroimaging data, genetic and genomic data. Zhang also has made major research efforts in: (a) child health ranging from the identification of neurological and genetic pathways in developing brain to the assessment of risk factors for pregnancy outcomes and to the understanding of cognitive and behavioral development in children; and (b) substance use, especially in understanding the transition from use to abuse. In addition, Dr. Zhang served as Principal Investigator of the data coordination and statistics center for the National Genomic and Proteomic Network for Preterm Birth Research and Reproductive Medicine Network.
Specialized Terms: Biostatistics; Genomics; Epidemiology; Psychiatry; Pregnancy; Infertility; Substance Use; Bioinformatics
Child Psychiatry; Epidemiology; Infertility; Mental Health; Pregnancy; Psychiatry; Computational Biology; Statistics; Genomics; Biostatistics
Clinical Trials; Epidemiology Methods; Genetics, Genomics, Epigenetics; Maternal & Child Health; Mental Health; Modeling; Reproduction; Child/Adolescent Health; COVID-19