Professor Maximus Yeung graduated from The University of Hong Kong with multiple awards, distinctions and scholarships in 2014, and received his Fellowship in Pathology from the Hong Kong College of Physicians in 2021. He obtained his Master of Science degree in Genomics and Bioinformatics with Certificate of Excellence in 2020. He is currently the Clinical Assistant Professor in the Department of Pathology, School of Clinical Medicine, the University of Hong Kong. He is also the honorary associate consultant in Queen Mary Hospital. Professor Yeung is the director of HKU Sarcoma Research Laboratory, which focuses on discovering biomarkers important for diagnosis, prognosis, treatment targets and prediction of therapeutic responses in different sarcomas. It involves utilizing cutting-edge technologies with multiomics analysis, single-cell profiling, functional analysis with organoid culture and state-of-the-art vision deep learning algorithm in computational pathology. In this field, he has discovered multiple novel fusions in sarcomas with comprehensive multiomics analysis. He is also involved in the development of different computational pathology algorithms, such as novel multi-task graph-transformer model (MulGT), TAD-Graph and ConcepPath, with publications in top-tier journals such as NPJ Digital Medicine. He has acquired a large multi-centre database of different sarcomas with well-annotated clinical information, radiology images, histology whole slide images and multiomics data, aiming to develop multimodality deep learning algorithms to make more precise diagnostic, prognostic and therapeutic determinations in different sarcomas. He is also conducting studies on liquid biopsy as a non-invasive tool for diagnosis and monitoring of sarcomas.

Professor Yeung is also obsessed with fine art landscape photography, and has been entitled Top 10 landscape photographers in 2020-2022.    (IG@maximus_yeung)

We are looking for self-motivated Postdoc/PhD/RA/Interns, who are interested in multiomics analysis and computational pathology. Welcome to drop me an email with your CV and transcripts.

• Yeung MCF, Fong T, Liu APY, Chan RCK, Chan AZ, Lau WH, Lok J, Gao GY, Leung SY, Shek TWH. Comprehensive Clinicopathological and Multiomics Characterization of Dermatofibrosarcoma Protuberans Revealed PDGFD Fusion as Distinct Molecular Subtype with Better Survival. Mod Pathol. 2025 May 8:100792.
• Yeung MCF, Liu APY, Wong SI, Loong HH, Shek TWH. GLI1-Altered Mesenchymal Tumor-Multiomic Characterization of a Case Series and Patient-Level Meta-analysis of One Hundred Sixty-Seven Cases for Risk Stratification. Mod Pathol. 2025 Jan;38(1):100635
• Su Z*, Yeung MCF*, Han S*, Yau RCH, Lam YL, Ho KWY, Shek TW, Shi F, Feng S, Chen H, Ho JWK, Xu Z, Cheung JPY, Cheung KSC. Denosumab Enhances antitumour Immunity by Suppressing SPP1 and Boosting Cytotoxic T Cells. Cancer Immunol Res. 2025 Feb 26. *Co-first authorship
• Yeung MCF, Dermawan JK, Liu APY, Lam AYL, Antonescu CR, Shek TWH. Spindle cell neoplasms with novel LTK fusion - Expanding the spectrum of kinase fusion-positive soft tissue tumors. Genes Chromosomes Cancer. 2024 Mar;63(3):e2322.
• Su Z, Ho JWK, Yau RCH, Lam YL, Shek TWH, Yeung MCF, Chen H, Oreffo ROC, Cheah KSE, Cheung KSC. A single-cell atlas of conventional central chondrosarcoma reveals the role of endoplasmic reticulum stress in malignant transformation. Commun Biol. 2024 Jan 24;7(1):124.
• Lee HHY, Chow KL, Wong HS, Chong TY, Wong AST, Cheng GHW, Ko JMK, Siu HC, Yeung MCF, Huen MSY, Tse KY, Bray MR, Mak TW, Leung SY, Ip PPC. Inhibition of aberrantly overexpressed Polo-like kinase 4 is a potential effective treatment for DNA damage repair-deficient uterine leiomyosarcoma. Clin Cancer Res. 2024 Jun 7
• Yeung MCF, Yau RCH, Ho KWY, Lam AYL, Shek TWH. USP6-translocated fibroblastic tumour with lipofibromatosis-like morphology. Pathology. 2024 Apr;56(3):428-431.
• Yeung MCF, Lam AYL, Shek TWH. Novel MAP4::RAF1 Fusion in a Primary Bone Sarcoma: Expanding the spectrum of RAF1 Fusion Sarcoma. International Journal of Surgical Pathology. February 2022.
  
  

Computational pathology

• Zhao W, Guo Z, Fan Y, Jiang Y, Yeung MCF*, Yu L*. Aligning knowledge concepts to whole slide images for precise histopathology image analysis. NPJ Digit Med. 2024 Dec 30;7(1):383. *Co-corresponding authorship
• F. Wang, J Xin, W Zhao, Y Jiang, M Yeung, L Wang, L Yu. "TAD-Graph: Enhancing Whole Slide Image Analysis via Task-Aware Subgraph Disentanglement," in IEEE Transactions on Medical Imaging
• Weiqin Zhao, Shujun Wang, Maximus Yeung, Tianye Niu, Lequan Yu. MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis. AAAI Conference on Artificial Intelligence (AAAI), 2023.
• Yeung MCF, Cheng ISY. Artificial intelligence significantly improves the diagnostic accuracy of deep myxoid soft tissue lesions in histology. Sci Rep. 2022 Apr 28;12(1):6965.

• HKAM Best Original Research by Trainees (BORT) Silver Medal, 2021
• Certificate of Excellence - Master of Science in Genomics & Bioinformatics, 2020
• 3M Hong Kong Prize (Best overall performance in MBBS Examinations), 2014
• Li Shu Fan Medical Foundation Prize in Biochemistry 2012

• Li Shu Pui Medical Foundation Research Grants, Faculty of Medicine, The University of Hong Kong, 2024
• Information and Technology Fund, Information and Technology Commission, HKSAR, 2023
• Chan Woon Cheung Education and Research Fund, The Hong Kong College of Pathologists, 2022
• Enhanced new staff start-up fund, The University of Hong Kong, 2022