معرفی
Dr. Wei Hao is a Research Assistant Professor in the Department of Biostatistics at the University of Michigan School of Public Health, specializing in statistical methodology development for mediation analysis with multiple and high-dimensional mediators applied to environmental health, nephrology, and epidemiology.
Her educational qualifications include:
- PhD in Biostatistics from the University of Michigan (2021)
- MA in Statistics from the University of Michigan (2008)
- MA in Economics from Peking University (2007)
- BS in Statistics from Beijing Normal University (2005)
Dr. Wei's research centers on advanced mediation analysis and causal inference frameworks for complex biomedical data, with applications in chemical mixture exposure assessment, chronic kidney disease, and cancer. She develops methods for high-dimensional mediators in electronic health records and genomic datasets, focusing on environmental health applications where multipollutant mixtures impact health outcomes. Her work integrates statistical innovation with real-world public health challenges in aging populations and disease disparities.
Analysis of her recent publications reveals dominant trends in epigenetics (particularly DNA methylation studies of cardiometabolic risk and psychosocial stress), cancer genomics (lung cancer mutagenesis in smokers and never-smokers), and multi-ancestry genetic analyses (serum lipids, cognitive function). Her methodological contributions emphasize mediation frameworks applied to omics data across diverse populations, with strong emphasis on health disparities research.
Dr. Wei maintains extensive collaborations in environmental health research, particularly on statistical modeling of multipollutant mixture exposures and their health impacts, while contributing to large consortia studies involving multi-ethnic cohorts like MESA and LASI-DAD.
