Projects per year
Personal profile
Personal profile
Jia Meng received his PhD in Electrical Engineering (Bioinformatics) from University of Texas at San Antonio in 2011. Before joining Xi’an Jiaotong-Liverpool University in 2013, he was a Staff Scientist at Massachusetts Institute of Technology and Broad Institute, managing the Bioinformatics Core Facility at Picower Institute for Learning and Memory. Jia Meng is now a Professor and Department Head at Department of Biosciences and Bioinformatics (previously Department of Biological Sciences), Xi’an Jiaotong-Liverpool University with an honorary appointment from University of Liverpool. Jia Meng has previously worked on a wide variety of computational biology projects that aim at a system level understanding of gene regulation. His works typically integrate multiple high-throughput data types and various knowledge databases with advanced multivariate techniques involving deep learning and statistical models. He has authored more than 100 peer-reviewed publications and is now focusing primarily on bioinformatics of RNA modifications and epitranscriptome. He is a fellow of the Royal Society of Public Health.
Research interests
- Bioinformatics for RNA modifications and Epitranscriptomics
- Machine learning Deep learning for Biomedicine
- RNA modification in mRNA vaccine and RNA therapeutics
- Single-cell transcriptomics and epitranscriptomics modeling and analysis
- Next Generation Sequencing: Illumina and Nanopore sequencing
- Bioinformatics Databases and Web Tools
- Systems Biology
For perspective students
We are looking for self-motivated individuals with strong quantitive background, programming skills and excellent self-learning capability to join the lab. Exceptional undergraduate students, who have a minimal GPA of 70 and TOEFL of 100 (or IELTS of 7.0), will also be considered. Please directly Email your CV and university transcripts to jia.meng@xjtlu.edu if you are interested.
Experience
- Lecturer (2013-2015), Associate Professor (2015-2017), Senior Associate Professor (2017-2022) and Professor (2022-Present), Department of Biological Sciences, Xian Jiaotong-Liverpool University - 2013 to Present
- PhD Supervisor, Institute of Integrative Biology, Faculty of Health Life Sciences, University of Liverpool - 2013 to Present
- Associate Scientist, Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard - 2012 to 2014
- Bioinformatician and Supervisor of the Bioinformatics Core Facility, Picower Institute for Learning and Memory, Massachusetts Institute of Technology - 2012 to 2013
- Postdoc, University of Texas at Antonio - 2011 to 2012
Teaching
- High-Throughput Approaches and Systems Biology (BIO316), as module leader
- Research Methods in Bioinformatics (BIO405), as module leader
Awards and honours
- Stanford’s top 2% scientists by Elsevier & Scopus, single year (2023), top ranked category: bioinformatics (rank: 451), 2024
- Fellow of the Royal Society of Biology (FRSB), 2024
- Fellow of the Royal Society of Public Health (FRSPH), 2024
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):
Related documents
Education/Academic qualification
Ph.D. , University of Texas at San Antonio, San Antonio, Texas, USA - 2011
M.Sc. , University of Texas at San Antonio, San Antonio, Texas, USA - 2008
B.Sc. , Northwestern Polytechnical University, Xi'an, China - 2006
Person Types
- Staff
Fingerprint
- 6 Similar Profiles
Collaborations and top research areas from the last five years
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Multimodal Biomedical Data: Harnessing the Unlabeled Data to Enhance the Biomedical Interpretable Learning
Wang, S., Tang, M., Dai, W., Moraros, J., Meng, J., Zhang, Y. & Li, C.
1/09/24 → 31/08/27
Project: Governmental Research Project
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Suzhou Municipal Key Lab for Intelligent Virtual Engineering
Yue, Y., Liang, H. N., Lim, E. G., Man, K. L., Ma, F., Wang, X., Guan, S., Wang, Q., Xiao, J., Ma, J., Meng, J., Zhang, C., Chen, M., Chen, B., Wang, W., Craig, P., Sun, J., Liu, G., Xia, J., Zhu, X., Yu, L., Zhang, J., Qi, J., Huang, M., Yang, R., Li, S., Dong, Y., Yang, X., Li, Y., Wang, J., Zhang, H., Wei, Z., Sun, Q., Elsheikh, A., Levers, A., Konev, B., Coenen, F., Atkinson, K., Gasieniec, L., Wong, P., Payne, T., Garcia-Fernandez, A. & Zhang, Y.
1/11/22 → 30/10/25
Project: Governmental Research Project
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AI Innovation Platform
Lim, E. G., Yue, Y., Man, K. L., Ma, F., Wang, Q., Xiao, J., Meng, J., Liang, H. N., Zhao, C., Ma, J., Jin, X., Wang, X., Yang, X., Chen, M., Guan, S., Xue, F., Zhang, C., Stefanidis, A., Sun, Q. & Xu, D.
1/09/22 → 30/08/24
Project: Governmental Research Project
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Hepatitis B virus X protein contributes to hepatocellular carcinoma via upregulation of KIAA1429 methyltransferase and mRNA m6A hypermethylation of HSPG2/Perlecan.
Sivasudhan, E., Zhou, J., Ma, J., Wang, Y., Liu, S., Khan, F. I., Lu, Z., Meng, J., Blake, N. & Rong, R., 1 Jan 2025, In: Molecular Carcinogenesis. 64, 1, p. 108-125 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation
Wang, H., Wang, Y., Zhou, J., Song, B., Tu, G., Nguyen, A., Su, J., Coenen, F., Wei, Z., Rigden, D. J. & Meng, J., 8 Jan 2025, In: Cell Genomics. 5, 1, 100702.Research output: Contribution to journal › Article › peer-review
Open Access -
TransRM: Weakly supervised learning of translation-enhancing N6-methyladenosine (m6A) in circular RNAs
Liu, L., Lei, X., Wang, Z., Meng, J. & Song, B., May 2025, In: International Journal of Biological Macromolecules. 306, 141588.Research output: Contribution to journal › Article › peer-review
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Ac4CGE: Predicting N4-acetylcytidine (ac4C) RNA Modification Sites in Archaea Using Graph-based Machine Learning Approach
Li, Y., Song, B., Meng, J. & Zhou, J., 16 Oct 2024, Proceedings of the 2024 9th International Conference on Biomedical Signal and Image Processing, ICBIP 2024. Association for Computing Machinery, p. 91-97 7 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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AI techniques have facilitated the understanding of epitranscriptome distribution
Huang, D., Meng, J. & Chen, K., 11 Dec 2024, In: Cell Genomics. 4, 12, 100718.Research output: Contribution to journal › Comment/debate
Open Access
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Shenglun Chen
Xinzhao Tong (Supervisor), Jia Meng (Co-supervisor) & Mal Horsburgh (Co-supervisor)
1 Sept 2024 → …Activity: Supervision › PhD Supervision
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Enakshi Ketaki Sivasudhan
Rong Rong (Supervisor), Zhiliang Lu (Co-supervisor), Jia Meng (Co-supervisor) & Neil Blake (Co-supervisor)
Jul 2024Activity: Supervision › PhD Supervision
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Jie Jiang
Jia Meng (Supervisor), Zhiliang Lu (Co-supervisor), Rong Rong (Co-supervisor) & Daniel J. Rigden (Co-supervisor)
Jul 2024Activity: Supervision › PhD Supervision
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Shijiao Qi
Xinzhao Tong (Supervisor), Jia Meng (Co-supervisor) & Heather E. Allison (Co-supervisor)
1 Jun 2024 → …Activity: Supervision › PhD Supervision
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Investigation of the epitranscriptomic role of hepatitis B virus X protein-mediated immune evasion mechanisms in liver cancer cell and tumour-associated macrophage in vitro models
Enakshi Sivasudhan (Speaker), Zhiliang Lu (Speaker), Jia Meng (Speaker), Neil Blake (Speaker) & Rong Rong (Speaker)
16 Apr 2024 → 20 Apr 2024Activity: Talk or presentation › Presentation at conference/workshop/seminar