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Tao Wang

Special Researcher/Tenure-track Associate Professor

  • Tel: +86-021 34204105
  • Email: neowangtao@sjtu.edu.cn
  • Address: Room 520, Jiequan Ye Building
  • Lab Web: https://sites.google.com/life.hkbu.edu.hk/neowangtao
  • 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

  • Associate Professor, 2020/09 - Present, Department of Statistics, Shanghai Jiao Tong University
  • Associate Professor, 2016/01 - Present, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University
  • Principal Investigator, 2016/01 - Present, SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University
  • Postdoctoral Associate, 2014/01 - 2015/12, Department of Biostatistics, Yale School of Public Health

Research Interests

Statistical Machine Learning

Statistical Machine Learning

Statistics for High-Dimensional Data

Statistics for High-Dimensional Data

Statistics for Microbiome Data

Statistics for Microbiome Data

Selected Publications

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    Wang T: Dimension reduction via adaptive slicing. Statistica Sinica 2021. DOI: 10.5705/ss.202019.0102.

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    Song Y, Zhao H, Wang T: An adaptive independence test for microbiome community data. Biometrics 2020, 76(2): 414-426

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    Sun Q, Zhu R, Wang T, Zeng D: Counting process-based dimension reduction methods for censored outcomes. Biometrika 2019, 106: 181-196

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    Wang T, Yang C, Zhao H: Prediction analysis for microbiome sequencing data. Biometrics 2019, 75(3): 875-884

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    Wang T, Zhao H: Constructing predictive microbial signatures at multiple taxonomic levels. Journal of the American Statistical Association 2017, 112(519): 1022-1031

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    Wang T, Zhao H: A Dirichlet-tree multinomial regression model for associating dietary nutrients with gut microorganisms. Biometrics 2017, 73(3): 792-801

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    Wang T, Zhao H: Structured subcomposition selection in regression and its application to microbiome data analysis. The Annals of Applied Statistics 2017, 11(2): 771-791

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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 2016, 78(5): 1013-1035

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    Wang T, Guo X, Zhu L, Xu P: Transformed sufficient dimension reduction. Biometrika 2014, 101(4): 815-829

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    Zhu L, Wang T, Zhu L, Ferré L: Sufficient dimension reduction through discretization-expectation estimation. Biometrika 2010, 97(2): 295-304

Teaching Experiences

  • Categorical Data Analysis
  • Statistical Methods in Data Science
  • Generalized Linear Models
  • Longitudinal and Multilevel Data Analysis
  • National Natural Science Foundation of China, 11971017, PI, 2020/01-2023/12
  • National Natural Science Foundation of China, 11601326, PI, 2017/01-2019/12
  • National Key R&D Program of China, 2018YFC0910500, Participant, 2018/07-2021/06
  • Shanghai Municipal Science and Technology Major Project, 2017SHZDZX01, Participant, 2019/01-2020/12
  • General Research Fund (Research Grants Council of Hong Kong), 16307818, Co-Investigator, 2018-2020
  • SJTU Trans-med Awards Research, YG2021QN06, Co-PI, 2021/01-2023/12
  • SJTU Trans-med Awards Research, YG2019QNA26, Co-PI, 2020/01-2022/12
  • SJTU Trans-med Awards Research, YG2019QNA37, Co-PI, 2020/01-2022/12
  • Faculty Start-up Fund, WF220408007, PI, 2016/01-2018/12

Selected Grants