• Tao Wang

    • Tel: +86-021 34204105
    • Email: neowangtao AT sjtu DOT edu DOT cn
    • Address: Room 520, Jiequan Ye Building
    • Lab Web: http://math.sjtu.edu.cn/Default/teachershow/tags/MDAwMDAwMDAwMLKeit0
    • 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

    • Professor, 2023/07 - Present, Department of Bioinformatics and Biostatistics & Department of Statistics, Shanghai Jiao Tong University
    • Tenured Associate Professor, 2022/01 - Present, Department of Bioinformatics and Biostatistics & Department of Statistics, Shanghai Jiao Tong University
    • Tenure Track Associate Professor, 2020/09 - 2021/12, Department of Statistics, Shanghai Jiao Tong University
    • Tenure Track Associate Professor, 2016/01 - 2021/12, 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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      Liu T, Zhou C, Wang H, Zhao H, Wang* T: phyloMDA: an R package for phylogeny-aware microbiome data analysis. BMC Bioinformatics 2022, 23: 213.

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      Zeng Y, Li J, Wei C, Zhao* H, Wang* T: mbDenoise: microbiome data denoising using zero-inflated probabilistic principal components analysis. Genome Biology 2022, 23: 94.

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      Zhou C, Wang H, Zhao* H, Wang* T: fastANCOM: a fast method for analysis of compositions of microbiomes. Bioinformatics 2022, 38(7): 2039-2041.

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      Liu T, Xu P, Du Y, Lu H, Zhao H, Wang* T: MZINBVA: Variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys. Briefings in Bioinformatics 2022, 23: bbab443.

      •  

      Zhou C, Zhao* H, Wang* T: Transformation and differential abundance analysis of microbiome data incorporating phylogeny. Bioinformatics 2021, 37(24): 4652-4660.

    • •  

      Ming J, Wang T, Yang* C: LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations. Bioinformatics 2020, 36(8):2506-2514

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

      •  

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

    Academic Rewards

    • Rising Star Award, Shanghai Society for Bioinformatics, 2021

    Teaching Experiences

    • Categorical Data Analysis
    • Statistical Methods in Data Science
    • Generalized Linear Models
    • Longitudinal and Multilevel Data Analysis
    • Excellent Young Scientists Fund, National Natural Science Foundation of China, 2023/01-2025/12
    • General Program, National Natural Science Foundation of China, 2020/01-2023/12
    • Young Scientists Fund, National Natural Science Foundation of China, 2017/01-2019/12

    Selected Grants

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