We are a research group at the Institute of Metabolism and Integrative Biology (IMIB), Fudan University. Our lab integrates computational biology, artificial intelligence, single-cell omics, and spatial transcriptomics to decode metabolic programs, cellular states, and disease mechanisms across obesity, fibrosis, hematopoietic aging, and cancer.
We combine state-of-the-art single-cell omics, spatial transcriptomics, long-read sequencing, and computational modeling to investigate metabolism and disease biology at cellular resolution.
Applying multi-omics approaches to dissect the molecular underpinnings of obesity, metabolic syndrome, and cancer. We leverage large-scale datasets to identify metabolic reprogramming signatures, uncover how metabolic dysregulation drives disease progression, and reveal potential therapeutic vulnerabilities.
Using single-cell and spatial technologies to map shared and disease-specific cellular mechanisms across fibrotic disorders, identify conserved therapeutic targets, and accelerate pan-fibrosis biomarker and treatment discovery.
Building novel algorithms, digital metabolism frameworks, and integrative multi-modal analysis pipelines to quantify metabolic states, identify cellular programs, and generate biologically interpretable models from large-scale omics data.
Ph.D. with Prof. John Speakman, Chinese Academy of Sciences
Postdoc with Prof. Adam Mead, MRC WIMM, University of Oxford
Junior Research Fellow, Wolfson College, University of Oxford
Research direction: metabolism, single-cell omics, spatial transcriptomics, artificial intelligence, and computational biology.
Email: guanlin_wang <<AT>> fudan.edu.cn
Office: D1313, Wangu Building, Fudan University
Chen H, Dong P, Xu J, Wang G*. bioRxiv (Preprint)
Dong P, Ding S, Wang G*. Life Metabolism
Liang Y, ..., Wang G*, Wang Y*, Guo Y*. Advanced Science
Li R#, Colombo M#, Wang G#*, ..., Mead A*, Psaila B*. Science Translational Medicine
Huang Y#, Wang A#, Zhou W, ..., Wang G*, Speakman JR*. Nature Communications
Bao Y, Wang G*, Li H*. Trends in Immunology
Wang Z, Wu Z, Wang H, Feng R, Wang G*, Li M, Wang SY, Chen X, Su Y, et al. Cell
COMBAT Consortium (including Wang G). Cell
Wu Y, Green CL, Wang G, Yang D, Li L, et al., Speakman JR*. Ageing Cell
Roy A#,*, Wang G#, Iskander D, et al. Cell Reports
Iskander D, Wang G, Heuston EF, et al., Karadimitris A*. Science Translational Medicine
Psaila B#,*, Wang G#, Rodriguez-Meira A, et al. Molecular Cell
Li B#, Li L#, Li M#, Lam SM#, Wang G, et al., Speakman JR*. Cell Reports
Hu S#, Wang L#, Yang D#, ... Wang G, ... Speakman JR*. Cell Metabolism
Wang G, Li B, Zhang X, Niu C, Li J, Li L, Speakman JR*. International Journal of Behavioral Nutrition and Physical Activity
Wang G, Speakman JR*. Cell Metabolism
Lin X, Wang G. Science Bulletin
We are looking for passionate new PhD students, Postdocs, and Research Assistants to join the team!
We welcome motivated researchers with backgrounds in computational biology, bioinformatics, artificial intelligence, single-cell omics, spatial transcriptomics, metabolism, and related quantitative disciplines. Positions may be available for PhD students, postdoctoral researchers, research assistants, and visiting students. If you are interested in joining the lab, please contact guanlin_wang <<AT>> fudan.edu.cn.
Life in the Wang Lab — work hard, play hard.
guanlin_wang <<AT>> fudan.edu.cn
D1313, Wangu Building
Institute of Metabolism & Integrative Biology
Fudan University, Shanghai, China