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Genetics

Zhe Fei

My research focuses on developing novel statistical methods for big data, meaning extremely large data sets with complex structures and high dimensional n, p, or both. High dimensional inference refers to the uncertainty measures of the statistical models, including asymptotic convergence, confidence intervals and hypothesis testing, which possesses unique challenges that have been drawing substantial research attention in recent years.

Alexandra M. Binder

My research has focused on the potential of epigenetic epidemiology to elucidate the pathway by which adult disease susceptibility is influenced by environmental stimuli during critical periods of plasticity in fetal development. To explore multiple facets of this regulatory network, I have worked to develop expertise in the preprocessing and analysis of sequencing and microarray approaches to interrogate genetic variation, chromatin modifications, mRNA expression, and DNA methylation. In association with the post-doctoral molecular biologists in Dr.

Akihiro Nishi

Akihiro Nishi is an Assistant Professor in Department of Epidemiology. He is a social epidemiologist and experimental social scientist specialized in social network and behavioral intervention. His current areas of research include improving economic inequality and well-being inequality in online social networks (e.g.

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