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 and developed a novel multi-task graph-transformer model (MulGT) that achieved the best performances in grading and survival prediction in cancers. 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 Hong Kong’s Top 10 landscape photographers in 2020 and 2021. (IG@maximus_yeung)

• 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.
• 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.
• 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.
• 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.
• Leung ASM, Yeung MCF, Yau RCH, Ho KWY, Shek TWH, Lam AYL. Case report on metastatic pelvic bone tumor treated with frozen autograft by liquid nitrogen. Int J Surg Case Rep. 2021 May

• 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
• Seed funding for Basic Research for New Staff, The University of Hong Kong, 2022