Projects per year
Personal profile
Personal profile
Zhen Wei is an Assistant Professor in Bioinformatics in the Academy of Life and Natural Sciences at Xi’an Jiaotong-Liverpool University (XJTLU), and a member of the Centre of Excellence for Precision Medicine, Digital Health and Regulatory Science. He joined XJTLU in 2020 and received his PhD in Bioinformatics from the University of Liverpool in the same year.
His research focuses on statistical and computational methods for reliable measurement and interpretation of genomic data, particularly RNA modifications and epitranscriptomics. He studies how technical biases, measurement uncertainty and differences between assays affect biological conclusions, and develops models, benchmarking approaches and research software to improve quantitative analysis and reproducibility.
Research interests
Statistical modelling and measurement reliability: Quantifying biological signals and uncertainty using statistical and probabilistic models, with the aim of separating biological variation from technical noise in high-throughput measurements.
RNA modifications and epitranscriptomics: Computational analysis of RNA modifications, particularly m6A, including signal detection, quantitative interpretation and comparisons across assays and sequencing platforms.
Technical bias correction and reproducibility: Investigating batch effects and assay-specific artefacts, evaluating their influence on biological conclusions, and developing methods for bias correction and reproducible analysis.
Machine learning and rigorous evaluation: Developing predictive models for genomic data and evaluating their generalisation across datasets and platforms, with attention to data leakage, independent validation and robust benchmarking.
Functional genomics and statistical inference: Studying relationships between genetic variation, molecular traits and disease using QTL analysis and Mendelian randomisation, with attention to model assumptions and robustness.
Research software for genomic data science: Developing reusable computational tools, including R/Bioconductor software, for transparent analysis, biological signal detection and reproducible genomic research.
Experience
Assistant Professor in Bioinformatics, Xi’an Jiaotong-Liverpool University, 2020–present
Programme Director, BSc Bioinformatics, Xi’an Jiaotong-Liverpool University, 2022–2026
Professional development
MITx MicroMasters Program Credential in Statistics and Data Science, 2020 (non-degree professional certificate).
Teaching
Module Leader, BIO214 Bioinformatics-II, 2020 to present
Module Leader, BIO215 Bioinformatics Project, 2024 to present
Co-lecturer, BIO316 High-throughput Approaches and Systems Biology, 2020 to present
Co-lecturer, APH003 Exploring the World Through Data, 2022 to present
Co-lecturer, BIO303 Final Year Project, 2020 to present
Education/Academic qualification
PhD in Bioinformatics, University of Liverpool - 2020
Research areas
- Bioinformatics
- Statistical Modelling and Inference
- Measurement Reliability
- Sequencing Bias Correction
- RNA Modifications
- Epitranscriptomics
- Machine Learning
- m6A
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Robust Modeling of m6A Stoichiometry and Regulatory Plasticity via Out-of-Distribution Evaluation and Heteroscedastic Deep Learning
Wei, Z. (PI)
Project: Governmental Research Project
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Development of bioinformatics methods for MeRIP-Seq analysis
Wei, Z. (PI)
1/01/23 → 31/12/25
Project: Internal Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Liang, H. N. (Team member), lim, E. (Team member), Man, K. L. (Team member), Ma, F. (Team member), Wang, X. (Team member), Guan, S. (Team member), Wang, Q. (Team member), Xiao, J. (Team member), Ma, J. (Team member), Meng, J. (Team member), Zhang, C. (Team member), Chen, M. (Team member), Chen, B. (Team member), Wang, W. (Team member), Craig, P. (Team member), Sun, J. (Team member), Liu, G. (Team member), Xia, J. (Team member), Zhu, X. (Team member), Yu, L. (Team member), Zhang, J. (Team member), Qi, J. (Team member), Huang, M. (Team member), Yang, R. (Team member), Li, S. (Team member), Dong, Y. (Team member), Yang, X. (Team member), Li, Y. (Team member), Wang, J. (Team member), Zhang, H. (Team member), Wei, Z. (Team member), Sun, Q. (Team member), Elsheikh, A. (Team member), Levers, A. (Team member), Konev, B. (Team member), Coenen, F. (Team member), Atkinson, K. (Team member), Gasieniec, L. (Team member), Wong, P. (Team member), Payne, T. (Team member), Garcia-Fernandez, A. (Team member), Zhang, Y. (Team member), Xu, Z. (Team member), Li, G. (Team member), Jia, D. (Team member), Liu, D. (Team member), Chen, Y. (Team member), Liu, S. (Team member), Wu, F. (Team member), Ji, C. (Team member), Pan, Y. (Team member), Xiang, N. (Team member), Ma, T. (Team member), Chen, Y. (Team member), Yu, S. (Team member), Liu, Y. (Team member), Wang, Y. (Team member), Li, Z. (Team member), Wang, W. (Team member), Chu, Y. (Team member), Yao, S. (Team member), Qian, J. (Team member), Xu, C. (Team member), Yang, F. (Team member), Chen, L. (Team member) & Yue, Y. (PI)
1/11/22 → 30/10/25
Project: Governmental Research Project
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Suzhou Municipal Key Lab for Metabolic Syndrome Drug Research
Meng, W. (Team member), Jiang, X. (Team member), Wei, Z. (Team member), Li, T. (Team member), Liu, X. (Team member), Su, J. (Team member), Yue, C. (Team member), Douroudis, K. (Team member), Kappes, F. (Team member), Park, J. (Team member), Wang, M. (Team member), Rong, R. (Team member), Raju, S. (Team member), Huang, X. (Team member), Kadowaki, T. (Team member), OConnor, D. (Team member), Lu, Z. (Team member), Feng, Q. (Team member), Yi, Y. (Team member), Chen, Y. (Team member), Jiang, B. (Team member), Yuan, X. (Team member), Cui, J. (Team member), Meng, S. (Team member), Smith, G. (Team member), Loh, B. (Team member), 李荪 (Team member) & Meng, J. (PI)
1/01/22 → 31/12/23
Project: Governmental Research Project
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Comprehensive Epitranscriptome analysis from MeRIP-seq data with exomePeak2
Zhou, J., Wei, Z., 炯龙苏 & Meng, J., 2026, In: Genomics, Proteomics and Bioinformatics.Research output: Contribution to journal › Article › peer-review
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Database resources of the National Genomics Data Center, China National Center for Bioinformation in 2026
CNCB-NGDC Members and Partners, 6 Jan 2026, In: Nucleic Acids Research. 54, D1, p. D28-D47Research output: Contribution to journal › Article › peer-review
Open Access59 Citations (Scopus) -
Decoding causal m6A: a bioinformatics roadmap for psychiatric disorders
Liu, S., Zhao, X., Wei, Z., Carr, D. F. & Moraros, J., 25 May 2026, In: Briefings in Bioinformatics. 27, 3, bbag251.Research output: Contribution to journal › Review article › peer-review
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DirectASRM: uncovering allele-specific post-transcriptional RNA modifications through direct RNA sequencing
Dai, J., Zhang, Y., Li, J., Ma, J., Chen, K., Meng, J., Rigden, D. J., Wei, Z., Lin, S. & Xu, Q., Jul 2026, In: Bioinformatics. 42, 7, btag432.Research output: Contribution to journal › Article › peer-review
Open Access -
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025
CNCB-NGDC Members and Partners, 6 Jan 2025, In: Nucleic Acids Research. 53, D1, p. D30-D44Research output: Contribution to journal › Article › peer-review
Open Access392 Citations (Scopus)
Activities
- 2 Consultancy
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Interviewed by CNN Health for a feature titled "Study Reveals a Strong Genetic Connection Between Period Pain and Depression"
Moraros, J. (Consultant), Liu, S. (Consultant), Wei, Z. (Consultant) & Carr, D. F. (Consultant)
29 Nov 2024Activity: Consultancy
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BBC Sounds: Exploring the Question "Do People Experiencing Depression Have Worse Period Pain?"
Moraros, J. (Consultant), Liu, S. (Consultant), Wei, Z. (Consultant) & Carr, D. F. (Consultant)
27 Nov 2024Activity: Consultancy