Researcher
Joe Yeong’s main research focus is to understand and overcome the resistance of immune checkpoint blockade immunotherapy. As an immuno-pathologist, his key vision is to bridge between immunologists and pathologists to better harness the advances of immunotherapy and further beyond. He is the pioneer in automating quantitative multiplex immunohistochemistry, using clinical autostainers to study and quantitate tumour immune microenvironment in clinical samples, and has published more than 100 papers in this field. His projects are part of multiple studies funded by the National Medical Research Council and sponsored by the pharmaceutical industry. Yeong was on the committee for the World Immunotherapy Council, and Society for Immunotherapy of Cancer (SITC); he helped organised the 2019 and 2023 WIC Global Symposium as well as the multiplex IF expert consensus meeting 2022. He serves as Program Chair at one of the largest AI medical Imaging conferences, CLINICCAI-MICCAI. He serves on the editorial boards of Scientific Reports, Immunoinformatics, SLAS Technology, Frontiers, and Pathogens, as well as being the Editor-in-Chief for World Scientific Annual Review of Cancer Immunology. He is a Secretary (Executive) in the Singapore Society of Oncology – Cancer Immunotherapy Consortium, a Co-lead in Education/Diagnostic for the Singhealth Duke-NUS Cell Therapy Centre as well as an Advisor (Spatial Technology) for the Cancer Discovery Hub, National Cancer Centre. In 2023, he co-founded the World Immunotherapy Council Asia to promote tumour immunology and advance cancer immunotherapy education, information and research across Asia.
Related Articles
Turning cold tumours into hot targets
4 Apr 2024Researchers identify predictive immune ‘signatures’ in liver cancer patients that can help tailor and improve
Lingering viruses make tumours vulnerable
12 Jun 2023New associations between COVID-19 and immune responses in cancer patients reveal potential inroads to fighting
Cross-dimensional gene exploration
8 Mar 2023A new computational tool gives scientists a 3D view of the gene expression landscape in
Striking with precision at liver cancer
9 Apr 2021A new biomarker in liver tumor may help doctors predict how patients respond to immunotherapy.