Tao Wang achieved his PhD degree in statistics at Hong Kong Baptist University, and was a Postdoctoral Associate in the Department of Biostatistics at Yale School of Public Health. He is a reviewer for Mathematical Reviews, an ISI elected member, and an Assistant Professor Adjunct of Biostatistics at Yale School of Public Health.
Education and Research Experience
Principal Investigator, January 2016 - Present, SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University
Associate Professor, January 2016 - Present, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University
Postdoctoral Associate, January 2014 - December 2015, Department of Biostatistics, Yale School of Public Health Supervisor: Hongyu Zhao
Principal Investigator, January 2016 - Present, SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University
Associate Professor, January 2016 - Present, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University
Postdoctoral Associate, January 2014 - December 2015, Department of Biostatistics, Yale School of Public Health Supervisor: Hongyu Zhao
Research Interests
Statistical Inference for High-dimensional Complex D...
Dimension Reduction for Biomedical Data
Statistical Analysis of Microbiome Data
Statistical Inference for High-dimensional Complex Data
Dimension Reduction for Biomedical Data
Statistical Analysis of Microbiome Data
Research Interests
Statistical Inference for High-dimensional Complex Data
Statistical Inference for High-dimensional Complex Data
Dimension Reduction for Biomedical Data
Dimension Reduction for Biomedical Data
Statistical Analysis of Microbiome Data
Statistical Analysis of Microbiome Data
Selected Publications
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Guo X, Wang T, Zhu L: Model checking for parametric single-index models: a dimension reduction model-adaptive approach. Journal of the Royal Statistical Society: Series B (accepted) 2015
Xu P, Zhang J, Huang X, Wang T: Efficient estimation for marginal generalized partially linear single-index models with longitudinal data. Test (accepted) 2015
Xu P, Wang T, Zhu H, Zhu L: Double penalized H-likelihood for selection of fixed and random effects in mixed effects models. Statistics in Biosciences 2015, 7:108–128