2011-2018 Ph.D. in Bioinformatics and Microbiology, Shanghai Jiao Tong University, CHINA
Thesis: The Impact of Sequencing Depth and Errors on The 16S rRNA Gene Sequencing-Based Studies of Microbial Diversities.

2007-2011 B.Sc. in Bioinformatics, Shanghai Jiao Tong University, CHINA

2017-2020 Visiting Researcher, University of Rhode Island, US

- Metabolic network reconstruction of neuron circuit and simulation of neuron metabolic changes during motor learning;
- Microbial evolution and metabolism modeling;
- Comparative genomics on Bacteria and Archaea;
- Contribute to the development of PSAMM (Portable System for the Analysis of Metabolic Models) software;
- Mentor under-graduate students.

2012-2018 National Science and Technology Major Project of China (2012ZX10005001-009), Shanghai Jiao Tong University, CN

- Revealed that the gut dysbiosis may participate in the development of severe liver fibrosis, cirrhosis and cancer;
- Achieved a gut microbiota dysbiosis index as a biomarker of liver functional disorder in CHB patients;
- Responsible for sample preparation and sequencing on Illumina MiSeq platform;
- Responsible for bioinformatics analysis, including data processing, statistics and algorithm development.

2012-2018 National Natural Science Foundation of China (20875061), Shanghai Jiao Tong University, CN

- Evaluated the required sequencing depth to reflect the diversity of microbial communities;
- Developed a novel algorithm to minimize spurious taxas from sequence errors in 16S rRNA gene amplicons;
- Research on the application of next generation sequencing on revealing the composition and function profile of microbial communities;
- Research on the selection of hyper-variable regions of 16S rRNA genes to optimally represent the community structure of microbiota.

2011-2018 Administrator of sequencing instrument and computing server, Shanghai Jiao Tong University, CN

- Develop daily-based applications, pipelines and statistical tools for special uses.

- Responsible for the daily operation and maintenance of sequencing platform;
- Responsible for inspecting the sequencing procedure and quality control;
- Responsible for bioinformatic analysis and construction of data management system;

Microbial ecology;

Reconstruction and simulation of metabolic network;

Developing software and algorithm;

Maintaining and improving bioinformatic analysis platform;

Statistic analysis, especially on high-dimensional, multi-omics data.

1. L. E. Williams, N. Cullen, J. A. DeGiorgis, K. J. Martinez, J. Mellone, M. Oser, J. Wang, Y. Zhang, Variation in genome content and predatory phenotypes between Bdellovibrio sp. NC01 isolated from soil and B. bacteriovorus type strain HD100. Microbiology (2019), doi:10.1099/mic.0.000861.
2. X. Tong, J. Xu, F. Lian, X. Yu, Y. Zhao, L. Xu, M. Zhang, X. Zhao, J. Shen, S. Wu, X. Pang, J. Tian, C. Zhang, Q. Zhou, L. Wang, B. Pang, F. Chen, Z. Peng, J. Wang, Z. Zhen, C. Fang, M. Li, L. Chen, L. Zhao, Structural alteration of gut microbiota during the amelioration of human type 2 diabetes with hyperlipidemia by metformin and a traditional chinese herbal formula: A multicenter, randomized, open label clinical trial. mBio. 9 (2018), doi:10.1128/mBio.02392-17.
3. J. Wang, Q. Zhang, G. Wu, C. Zhang, M. Zhang, L. Zhao, Minimizing spurious features in 16S rRNA gene amplicon sequencing. PeerJ Preprints, in press, doi:10.7287/peerj.preprints.26872v1.
4. L. Zhao, F. Zhang, X. Ding, G. Wu, Y. Y. Lam, X. Wang, H. Fu, X. Xue, C. Lu, J. Ma, L. Yu, C. Xu, Z. Ren, Y. Xu, S. Xu, H. Shen, X. Zhu, Y. Shi, Q. Shen, W. Dong, R. Liu, Y. Ling, Y. Zeng, X. Wang, Q. Zhang, J. Wang, L. Wang, Y. Wu, B. Zeng, H. Wei, M. Zhang, Y. Peng, C. Zhang, Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes. Science. 359, 1151–1156 (2018).
5. Y. Wang, H. Tian, F. Huang, W. Long, Q. Zhang, J. Wang, Y. Zhu, X. Wu, G. Chen, L. Zhao, L. R. Bakken, Å. Frostegård, X. Zhang, Time-resolved analysis of a denitrifying bacterial community revealed a core microbiome responsible for the anaerobic degradation of quinoline. Scientific Reports. 7, 1–11 (2017).
6. J. Wang, Y. Wang, X. Zhang, J. Liu, Q. Zhang, Y. Zhao, J. Peng, Q. Feng, J. Dai, S. Sun, Y. Zhao, L. Zhao, Y. Zhang, Y. Hu, M. Zhang, Gut Microbial Dysbiosis Is Associated with Altered Hepatic Functions and Serum Metabolites in Chronic Hepatitis B Patients. Frontiers in Microbiology. 8 (2017), doi:10.3389/fmicb.2017.02222.
7. L. C. Bridgewater, C. Zhang, Y. Wu, W. Hu, Q. Zhang, J. Wang, S. Li, L. Zhao, Gender-based differences in host behavior and gut microbiota composition in response to high fat diet and stress in a mouse model. Scientific Reports. 7 (2017), doi:10.1038/s41598-017-11069-4.
8. J. Wang, J. Wang, X. Pang, L. Zhao, L. Tian, X. Wang, Sex differences in colonization of gut microbiota from a man with short-term vegetarian and inulin-supplemented diet in germ-free mice. Scientific Reports. 6, 36137 (2016).
9. Q. Zhang, Y. Wu, J. Wang, G. Wu, W. Long, Z. Xue, L. Wang, X. Zhang, X. Pang, Y. Zhao, L. Zhao, C. Zhang, Accelerated dysbiosis of gut microbiota during aggravation of DSS-induced colitis by a butyrate-producing bacterium. Scientific Reports. 6, 27572 (2016).
10. G. Wu, C. Zhang, J. Wang, F. Zhang, R. Wang, J. Shen, L. Wang, X. Pang, X. Zhang, L. Zhao, M. Zhang, Diminution of the gut resistome after a gut microbiota-targeted dietary intervention in obese children. Scientific Reports. 6, 24030 (2016).

L. Zhao, J. Wang, M. Zhang, Determination of microorganism operational taxonomic unit and sequence-assisted separation, CN106055924A