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Tao Wang
Life Science
Shanghai Jiao Tong University
Shanghai
Language: English, Chinese
Machine Learning
Statistics
High-Dimensional
Data Analysis
Microbiome
Bioinformatics
Biostatistics
Computational Methods
Statistical Models
Data Science
Areas of Focus
- Statistical Machine Learning
- High-dimensional Data Statistics
- Statistical Foundations and Analysis Methods for Microbiome Data
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
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
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
Awards
- 2021 Shanghai Bioinformatics Society Young Star Award
