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Genetics

Jingyi Jessica Li

Dr. Jingyi Jessica Li is an Associate Professor in the Department of Biostatistics, UCLA Fielding School of Public Health. Her specific appointments are in the Department of Statistics (primary) and the departments of Biostatistics, Computational Medicine, and Human Genetics (secondary) at University of California, Los Angeles (UCLA). She is also a faculty member in the Interdepartmental Ph.D. Program in Bioinformatics.

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 the Department of Epidemiology at the UCLA Fielding School of Public Health. He is a social epidemiologist specializing in network sciences and evolutionary game theory (see Nishi, Social Science & Medicine, 2015). His areas of focus include the improvement of economic inequality and the inequality of well-being in online social networks (e.g. Nishi et al, Nature, 2015); examining health consequences of nationwide policies in aging countries such as Japan (e.g.

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