Project 3 People
Xihong Lin -- Project Leader firstname.lastname@example.org Xihong Lin is Professor of Biostatistics and Co-ordinating Director of Program in Quantitative Genomics of Harvard School of Public Health. Her group's major research interests lie in development and application of statistical and computational methods for anlaysis of high-dimensional genomic and 'omics data in population and clinical sciences, and for analysis of correlatd data, such as longitudinal, clustered and spatial data. The group is interested in statistical genetics and genomics, genetic and epigenetic epidemiology, genes and environment and medica l genomics. Current research projects include genome-wide association studies, next generation sequencing studies, gene-envir onment interactions, and genome-wide DNA methylation studies, pathway analysis and network analysis, proteomics. Articles: PubMed, Google Scholar.
Tianxi Cai -- Professor email@example.com Dr. Cai's current research interests are mainly in the area of biomarker evaluation; model selection and validation; prediction methods; personalized medicine in disease diagnosis, prognosis and treatment; statistical inference with high dimensional data; and survival analysis. In addition to her methdological research, Dr. Cai also collaborates with the I2B2 (Informatics for Integrating Biology and the Bedside) center on developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases. Articles: PubMed, Google Scholar.
David Christiani -- Professor
Dr. Christiani is an Elkan Blout Professor of Environmental Genetics in the Departments of Environmental Health and Epidemiology at the Harvard School of Public Health.
Articles: PubMed, Google Scholar.
Peter Kraft -- Professor firstname.lastname@example.org Peter Kraft is a Professor of Epidemiology in the Department of Epidemiology and the Department of Biostatistics at Harvard School of Public Health. His research focus is statistical methodology in genetic epidemiology, including family-based and population-based case-control studies. His current projects include methods to measure association between haplotypes of multiple tightly-linked markers and disease in matched case-control studies and to detect gene x gene and gene x environment interactions. He is also interested in using joint variation in DNA sequence and gene expression to better understand disease etiology. He collaborates with colleagues in the Department of Epidemiology and the Channing Laboratory on a number of large-scale cohort studies, such as the Nurses’ Health Study, as well as the international Cohort Consortium for Breast and Prostate Cancer.
David Hunter -- Professor email@example.com David Hunter is the Dean for Academic Affairs in the Office of the Dean and the Vincent L. Gregory Professor in Cancer Prevention in the Department of Epidemiology and the Department of Nutrition at Harvard School of Public Health. His principal research interests are the etiology of cancer, particularly breast, colorectal and skin cancers, and prostate cancer in men. I am an investigator on the Nurses’ Health Study, a long-running cohort of 121,000 US women, and was project director for the Nurses’ Health Study II, a cohort of 116,000 women followed since 1989. His focus is on genetic susceptibility to these cancers, and gene-environment interactions. This work was originally based in subcohorts of the Nurses Health Study and the Health Professionals Follow-up Study of approximately 33,000 women and 18,000 men who have given a blood sample that can be used for DNA analysis.
Tyler VanderWeele -- Professor firstname.lastname@example.org Tyler VanderWeele is a Professor of Epidemiology in the Department of Epidemiology and the Department of Biostatistics at Harvard School of Public Health. His methodologic research concerns how we distinguish between association and causation in the biomedical and social sciences and the study of the mechanisms by which causal effects arise. The current focus of his work includes the analysis of pathways, assessments of interaction, and the evaluation of network and spillover effects in which one person’s exposure will affect the outcomes of another. His research employs counterfactual theory and ideas from causal inference to clarify and formalize concepts used by epidemiologists, biomedical researchers and social scientists. His empirical work has been in the areas of perinatal, psychiatric and genetic epidemiology; various fields within the social sciences; and the study of religion and health. In perinatal epidemiology, he has worked on evaluating prenatal care indices, on the analysis of trends in birth outcomes, and on assessing the role of preterm birth in mediating the effects of prenatal exposures on mortality outcomes. In genetic epidemiology, I have been studying gene-environment interaction and the pathways by which genetic variants operate. In psychiatric epidemiology, I have been studying the feedback and inter-relationships between depression, loneliness and subjective well-being. His work in the social sciences has included the study of educational interventions, micro-finance programs, social network effects, and judicial decisions. His work in religion and health is oriented towards assessing the mechanisms by which religion and spirituality affect health outcomes. Articles: PubMed, Google Scholar.