Gu Zuguang, Distinguished Chair Professor at Shenzhen University of Advanced Technology, holds bachelor’s, master’s, and doctoral degrees from Nanjing University, and served as a permanent position research scientist at the German Cancer Research Center. He has long been engaged in interdisciplinary research in precision medicine, bioinformatics, data science, and artificial intelligence, with a focus on multi-omics data analysis, algorithm design, and efficient platform development, dedicated to improving the interpretability and reproducibility of biomedical research through data-driven and theory-supported approaches.

2001-2005, Bachelor’s Degree in Biotechnology (Base Class), Nanjing University

2005-2008, Master’s Degree in Biochemistry and Molecular Biology, Nanjing University

2009-2012, PhD in Biology, Nanjing University

2013-2018, Postdoctoral Fellow, German Cancer Research Center (DKFZ)

2018-2021, Senior Scientist, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT)

2022-2025, Permanent Position Scientist, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT)

2026–present, Distinguished Chair Professor, Shenzhen University of Advanced Technology

Applying data science methods to interdisciplinarily analyze big biological data from theoretical, applied, and tool perspectives, specifically including the following aspects:

1. Applying machine learning methods for integrated analysis of multi-omics, multimodal, single-cell, and other omics data.

2. Continuously releasing biological software to the international open-source community, promoting integration and translational application of large-scale omics platforms.

3. Focusing on space-filling curves as the research object, systematically conducting complete research from principle exploration to practical application, encompassing the establishment of fundamental mathematical theory, application to biological data, and development of translational platforms.

4. From a developer’s perspective, investigating core issues in software ecosystems such as dependency complexity and propagation vulnerability.

2021–present, Top 2% Scientists Worldwide

International Organizational Appointments

Member of the Bioconductor Community Advisory Board, 2025-2028

Projects Undertaken

2024-2026, Principal Investigator, Dependency Weight in Biological Software Ecosystems, Klaus Tschira Foundation, Germany

Representative Publications

1.Stephanie Gehrs*,Zuguang Gu*,et al.,DNMT3A-dependent DNA methylation shapes the endothelial enhancer landscape.Nucleic Acids Research2025.

2.Zuguang Gu#,Two separated worlds: On the preference of influence in life science and biomedical research.Journal of Informetrics2025.

3.Zuguang Gu#,On the dependency heaviness of CRAN/Bioconductor ecosystem.Journal of Systems and Software2023.

4.Zuguang Gu#,et al.,simplifyEnrichment: A Bioconductor Package for Clustering and Visualizing Functional Enrichment Results.Genomics, Proteomics & Bioinformatics2023.

5.Zuguang Gu#,Complex heatmap visualization.iMeta2022.

6.Zuguang Gu#,et al.,cola: an R/Bioconductor package for consensus partitioning through a general framework.Nucleic Acids Research2021.

7.Nina Hensel*,Zuguang Gu*, Sagar*,et al.,Memory-like HCV-specific CD8+ T cells retain a molecular scar after cure of chronic HCV infection.Nature Immunology2021.

8.Elisa Espinet#,Zuguang Gu*, Charles D Imbusch*,et al.,Aggressive PDACs Show Hypomethylation of Repetitive Elements and the Execution of an Intrinsic IFN Program Linked to a Ductal Cell of Origin.Cancer Discovery2021.

9.Yonghe Wu*, Michael Fletcher*,Zuguang Gu*,et al.,Glioblastoma epigenome profiling identifies SOX10 as a master regulator of molecular tumour subtype.Nature Communications2020.

10.Zuguang Gu,et al.,Complex heatmaps reveal patterns and correlations in multidimensional genomic data.Bioinformatics2016.

Full publication list available at https://scholar.google.com/citations?user=zheH1qkAAAAJ