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Statistical Methodology

Michele Guindani

Dr. Guindani received his Ph.D. degree in Statistics from Università Bocconi (Milan, Italy) in 2005 under the supervision of Sonia Petrone (Department of Decision Sciences, Università Bocconi, Italy) and Alan E. Gelfand (Department of Statistical Sciences, Duke University). From 2005 to 2007, Dr. Guindani was a postdoctoral fellow in the Department of Biostatistics at the University of Texas MD Anderson Cancer Center, working with Peter Mueller and Gary L. Rosner.

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.

Yusuke Tsugawa

Yusuke Tsugawa, MD, MPH, PhD is associate professor of health policy and management, as well as assistant professor of medicine at UCLA. Prior to joining the faculty at UCLA, he was a health specialist at the World Bank group and a research fellow at Beth Israel Deaconess Medical Center/Harvard Medical School. Dr. Tsugawa received his PhD in Health Policy from Harvard University with a concentration in statistics, and his MPH from Harvard School of Public Health.

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.

Karin B. Michels

Dr. Michels has expertise in epidemiologic methods, and epigenetic, nutritional, and cancer epidemiology. Her research focuses on women's health. 

Dr. Michels is one of the co-founders of the area of epigenetic epidemiology and has made seminal contributions to the methods used in this field. Her research addresses the role of epigenetics in the developmental origins of health and disease (DOHaD). The Michels' lab studies the impact of events during perinatal life on the establishment of the epigenome.

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