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Heping Zhang (HP)
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Professor Zhang and the associates in his Lab of Statistics and Bioinformatics 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 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. Professor Zhang holds joint appointments in the Yale Child Study and the Department of Statistics. Besides the research in statistical methodology, he 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. |