Professor | Tao Wang | Asia Growth Partners

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Name	Tao Wang
Contact Information	{'en': 'Phone: +86-021 34204105, Email: neowangtao AT sjtu DOT edu DOT cn', 'zh': '电话：+86-021 34204105, 邮箱：neowangtao AT sjtu DOT edu DOT cn', 'de': 'Telefon: +86-021 34204105, E-Mail: neowangtao AT sjtu DOT edu DOT cn'}
Language ability	English, Chinese
Province	Shanghai

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Name

Tao Wang

Contact Information

{'en': 'Phone: +86-021 34204105, Email: neowangtao AT sjtu DOT edu DOT cn', 'zh': '电话：+86-021 34204105, 邮箱：neowangtao AT sjtu DOT edu DOT cn', 'de': 'Telefon: +86-021 34204105, E-Mail: neowangtao AT sjtu DOT edu DOT cn'}

Language ability

English, Chinese

Province

Shanghai

University/Lab Affiliation and Title	Shanghai Jiao Tong University
Faculty	Life Sciences
Academic Background & Achievements	PhD in Statistics from Hong Kong Baptist University Postdoctoral research at Yale University School of Public Health Elected member of the International Statistical Institute Reviewer for Mathematical Reviews
Work Experience	2023/06-Present, Shanghai Jiao Tong University, Dual appointment in School of Life Sciences and Technology and School of Mathematical Sciences, Professor 2022/01-Present, Shanghai Jiao Tong University, Dual appointment in School of Life Sciences and Technology and School of Mathematical Sciences, Endowed Associate Professor 2020/09-2021/12, Shanghai Jiao Tong University, Department of Statistics, Endowed Associate Professor 2016/01-2021/12, Shanghai Jiao Tong University, Department of Bioinformatics and Biostatistics, Endowed Associate Professor 2016/01-Present, Shanghai Jiao Tong University-Yale University Joint Center for Biostatistics and Data Science, Researcher 2014/01-2015/12, Yale University, Department of Biostatistics, Postdoctoral Researcher
Awards	2021 Shanghai Bioinformatics Society Young Star Award

University/Lab Affiliation and Title

Shanghai Jiao Tong University

Faculty

Life Sciences

Academic Background & Achievements

PhD in Statistics from Hong Kong Baptist University
Postdoctoral research at Yale University School of Public Health
Elected member of the International Statistical Institute
Reviewer for Mathematical Reviews

Work Experience

2023/06-Present, Shanghai Jiao Tong University, Dual appointment in School of Life Sciences and Technology and School of Mathematical Sciences, Professor
2022/01-Present, Shanghai Jiao Tong University, Dual appointment in School of Life Sciences and Technology and School of Mathematical Sciences, Endowed Associate Professor
2020/09-2021/12, Shanghai Jiao Tong University, Department of Statistics, Endowed Associate Professor
2016/01-2021/12, Shanghai Jiao Tong University, Department of Bioinformatics and Biostatistics, Endowed Associate Professor
2016/01-Present, Shanghai Jiao Tong University-Yale University Joint Center for Biostatistics and Data Science, Researcher
2014/01-2015/12, Yale University, Department of Biostatistics, Postdoctoral Researcher

Awards

2021 Shanghai Bioinformatics Society Young Star Award

Areas of Focus	Statistical Machine Learning High-dimensional Data Statistics Statistical Foundations and Analysis Methods for Microbiome Data
Publications	phyloMDA: an R package for phylogeny-aware microbiome data analysis, Liu T, Zhou C, Wang H, Zhao H, Wang T, 2022 mbDenoise: microbiome data denoising using zero-inflated probabilistic principal components analysis, Zeng Y, Li J, Wei C, Zhao H, Wang T, 2022 fastANCOM: a fast method for analysis of compositions of microbiomes, Zhou C, Wang H, Zhao H, Wang T, 2022 MZINBVA: Variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys, Liu T, Xu P, Du Y, Lu H, Zhao H, Wang T, 2022 Transformation and differential abundance analysis of microbiome data incorporating phylogeny, Zhou C, Zhao H, Wang T, 2021 LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations, Ming J, Wang T, Yang C, 2020 An adaptive independence test for microbiome community data, Song Y, Zhao H, Wang T, 2020 Prediction analysis for microbiome sequencing data, Wang T, Yang C, Zhao H, 2019

Areas of Focus

Statistical Machine Learning
High-dimensional Data Statistics
Statistical Foundations and Analysis Methods for Microbiome Data

Publications

phyloMDA: an R package for phylogeny-aware microbiome data analysis, Liu T, Zhou C, Wang H, Zhao H, Wang T, 2022
mbDenoise: microbiome data denoising using zero-inflated probabilistic principal components analysis, Zeng Y, Li J, Wei C, Zhao H, Wang T, 2022
fastANCOM: a fast method for analysis of compositions of microbiomes, Zhou C, Wang H, Zhao H, Wang T, 2022
MZINBVA: Variational approximation for multilevel zero-inflated negative-binomial models for association analysis in microbiome surveys, Liu T, Xu P, Du Y, Lu H, Zhao H, Wang T, 2022
Transformation and differential abundance analysis of microbiome data incorporating phylogeny, Zhou C, Zhao H, Wang T, 2021
LPM: a latent probit model to characterize the relationship among complex traits using summary statistics from multiple GWASs and functional annotations, Ming J, Wang T, Yang C, 2020
An adaptive independence test for microbiome community data, Song Y, Zhao H, Wang T, 2020
Prediction analysis for microbiome sequencing data, Wang T, Yang C, Zhao H, 2019

Machine Learning Statistics High-Dimensional Data Analysis Microbiome Bioinformatics Biostatistics Computational Methods Statistical Models Data Science

Qi Liu - Tongji University

Menghuan Zhang - Tongji University

Ruixin Zhu - Tongji University

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