Welcome to the Zhang Lab
Single-Cell Data-Driven Computational Omics and Systems Immunology (COSI)
We develop computational machine learning methods for single-cell omics to study inflammatory disease for translational medicine in the Department of Medicine Division of Rheumatology and Department of Biomedical Informatics Center for Health Artificial Intelligence, the University of Colorado Anschutz Medical Campus.
Recent lab news
📚 2025 Sep - Congrats Young, J., et al on our paper of CellPhenoX: An eXplainable Cell-specific machine learning method to predict clinical Phenotypes using single-cell multi-omics at Advanced Science!
💰 2025 Aug - Thrilled 🎉 to share that Fan has been awarded a five-year NIH R01! This link is the School of Medicine news feature on this!
💰 2025 July - Congrats Fan to receive the grant from the Leadership Scholars Program in Women’s Health, Autoimmune Diseases, and Immune-Mediated Diseases from the NIH Office of Research on Women’s Health and NIH AMP AIM program 🎉
📚 2025 March - Congrats Inamo, J., et al on our recent publication of Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis, JCI (Journal of Clinical Investigation), 2025. This study was featured at CU DOM News: “Leveraging Data Science for Disease Prediction in the Fight Against Rheumatoid Arthritis” 🎉
💰 2025 March - Congrats Fan to receive the Arthritis Foundation grant 🎉 - check out the featured post of the grant.
Our Science
🖥 We develop novel computational machine learning methods for single-cell omics
Young, et al, Advanced Science, 2025
Guo, et al, Bioinformatics Advances, 2024
Zhang, et al., BMC Bioinformatics, 2017
🧬 We decipher pathogenic immune cells and molecular mechanisms for immune-mediated diseases
Inamo, et al, JCI, 2025
Zhang*, Wei*, Slowikowski*, Fonseka*, Rao*, et al, Nature Immunology, 2019
💊 We integrate cross-disease cross-tissue cross-cohort data to uncover novel phenotypes for translational medicine
Zhang*, Jonsson*, et al, Nature, 2023
Jonsson*, Zhang*, et al, Science Translational Medicine, 2022
Zhang, et al. Genome Medicine, 2021