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Dr. WU Yang is a Research Scientist at the Joe Yeong Lab, focusing on single-cell transcriptomics, spatial transcriptomics, and spatial proteogenomics.
- PhD, Computational Biology (Duke-NUS Medical School, National University of Singapore, Postdoc: Aug 2022 ~ Jan 2023)
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- PhD, Computational Biology (Duke-NUS Medical School, National University of Singapore, Aug 2017 ~ Jul 2022)
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- BSc, Life Sciences (Fudan University, Sep 2013 ~ Jun 2017)
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### Current Position
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Postdoctoral Fellow, Bioinformatics Analyst at Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore
## Welcome to AI in Immunology Laboratory of Prof. Joe Poh Sheng YEONG
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We focus on cutting-edge researches on AI in immunology, tumor pathology, spatial multi-omics to understand tumor theranostics (diagnostics + therapy).
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### Research Focus
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Our laboratory specializes in:
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- Human experts and AI models in tumor pathology
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- Multi-omics and spatial multi-omics integrative data analysis
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- Biomarker discovery and validation
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- Translational research applications - AIDD, cancer vaccine and companion diagnostics assay development
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### Latest News
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Stay tuned for updates on our latest research findings, publications, and laboratory achievements.
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*For more information about our research, team, and opportunities, please explore the navigation menu above.*
- Automated staining protocol for seven-colour immunofluorescence of human and animal tissue sections for diagnostic and prognostic use (TEC-18-96)
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- PD-L1 monoclonal antibody as a diagnostic tool to predict anti-PD-L1 and anti-PD-1 immunotherapy response in cancer (IMC/Z/12757)
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- IHC staining for CD38 predict anti-PD-1 immunotherapy response (TEC-18-92) and in house engineered antibody (2023-019)
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- IHC staining for CD39 predict PD-1/PD-L1 inhibitor immunotherapy response (IMC/Z/11149) and in-house engineered antibody (IMC/Z/13882)
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- PD-L2 monoclonal antibody as a diagnostic tool to predict anti-PD-L1 and anti-PD-1 immunotherapy response in cancer (2023-020)
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- Methodology for development of a direct multiplex immunohistochemistry prototype kit for CD39 and PD-L1 detection (2023-021)
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- 74 Antibodies Optimised for Immunohistochemistry (IHC) (IMC/Z/13562, licensed to ImmunoQs.)
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- Multiplex immunohistochemistry/immunofluorescence (mIHC/IF) for PD-L1 testing in triple negative breast cancer: a translational assay compares to conventional IHC (DxD/Z/11878, licensed out to Lucence Diagnostic)
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- IHC-based clinical assay for EBC-129 ADC for cancer. (2021-01-11)
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- CD8+ T-cell prediction with AI in histological images. (Ref. 2024-021)
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- Method for Testing Multiple Tissue Samples on A Single Stereo-seq Spatial Transcriptomics Chip (ASTAR ref Z2024-280; RE 2024-016)
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- Blood-based Biomarkers for Lung Cancer (2024-009 - Z2024-158)
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- Integrated platform for neoantigen identification using patient derived tumor biopsy (2023-010 - IMC/Z/14352)
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- Albumin-based Multifunctional Nanocarriers for Cancer Vaccine Delivery (Z2024-108; PCT/SG2025/050559)
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- Whole slide blood smear assay on slides for high throughput protein and cell analysis (Z2024-755)
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- Whole slide smear imaging assay for high throughput cell culture analysis (Z2024-825)
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- PD-L1-expressing tumour cell prediction on haematoxylin and eosin-stained whole slide images (Z2024-656)
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- Low and High Molecular Weight Protein Enrichment (Z2024-690)
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- A computer-implemented method for cell-level detection a prediction of cancer biomarker associated features (ref: IP2024-030-01; PCT/SG2025/050432)
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- Antibody-drug conjugate target protein expression prediction on haematoxylin and eosin-stained whole slide images (Z2024-655, Licensed to ViewsML.)
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- Predictive Model for Mortality Risk Stratification Using Laboratory Biomarkers in Singaporeans (TD 2025-020, Licensed to Lucence Diagnostics)
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## Professional Membership
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-**Co-founder** World Immunotherapy Council Asian Chapter
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-**Co-Chair** World Immunotherapy Council 2019, 2023, 2025
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-**Committee Member** of Society of Immunotherapy for Cancer (SITC)
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-**Co-founder and Committee Member Clinical Day (CLINICCAI)** of International Conference on Medical Image Computing and Computer Assisted Intervention, **MICCAI**
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-**Executive Secretary** of Singapore Society of Oncology – Cancer immunotherapy consortium
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-**Education/Diagnostics Co-Lead**, **SingHealth Duke-NUS** Cell Therapy Centre
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-**Executive Committee Member**, Singapore Society of Pathology
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-**Founder**, Spatial JEDI Council
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-**Board & Committee Member**, **Asian Society of Digital Pathology** (ASDP)
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-**Board member**, Digital Pathology Special Interest Group, MICCAI
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-**Lead & Committee Member** of Society for Immunotherapy for Cancer (SITC)
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-**Committee Member**, Cancer Peak, Singapore General Hospital
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-**Membership** of United States and Canada Academy of Pathology (USCAP)
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-**Fellow** of British Royal College of Pathologist (RCPath)
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-**Membership** of Pathology Society of Great Britain and Ireland (SocPath)
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-**Membership** of Singaporean Society for Immunology (SgSi)
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-**Adjunct Membership** of International Academy of Pathology (IAP) - Singapore Division
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-**Membership** of European Society of Pathology
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-**NIH Alliance** of Digital Pathology
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-**Singapore Biodesign Alumni** (Winner of BEP program 2021)
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-**Member Board of Directors**, African & Asian Society of Digital Pathology (ASDP)
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-**Board Member**, Medical Image Computing and Computer Assisted Intervention (MICCAI) Society
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-**Board Member**, MICCAI Special Interest Group on Computational Pathology
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-**Committee member**, American Society of Clinical Oncology (ASCO)
We are always looking for motivated researchers to join our laboratory. If you are interested in spatial omics research and computational biology, please contact us to discuss potential opportunities.
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### Current Openings
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*[Current position openings to be listed]*
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### How to Apply
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For inquiries about joining our laboratory, please send your CV and a brief cover letter describing your research interests and career goals.
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