Associate Professor Zongyuan Ge conducts interdisciplinary research at the boundary between Medical Artificial Intelligence, Computer-aided Diagnosis, Biomedical Engineering, Digital Health, Medical Imaging and Machine Learning and is a multi-award-winning medical information science and technology entrepreneur. His research leverages cutting-edge AI technologies using large-scale multi-modality medical data, including imaging, biological signal, medical records, genomics data, multi-omics and models the clinicians’ medical knowledge underlying tasks like diagnosis, prognosis, disease management and treatment for eye (ophthalmology), skin (dermatology), heart (cardiovascular) and neurodegeneration diseases such as epilepsy, dementia and multiple sclerosis. He is also one of Australia’s most in-demand experts in advanced technology, including medical robotics, digital health and artificial intelligence, and is a passionate science communicator. His standing as a top 2% scientist since 2020 and recognition of his articles in Stanford/Elsevier affirm the impact of his research, and he is recognised as one of the 200 Most Qualified Young Researchers in Computer and Mathematics by the Scientific Committee of the Heidelberg Laureate Foundation (2017).

He has held the tenure position of Associate Professor at Monash University since 2022, in the Faculty of IT. He is the Founding Director of the AIM for Health Lab (Monash Augmented Intelligence and Multimodal analytics for Health) and leads over fully funded 35+ PhD students (internal + external), 11 Research Fellows. In the industry leadership role, he holds NVIDIA AI Fellowship from 2018-2022, serves as the Chief Scientist at Monash-Airdoc Research Centre and the Research Advisor at Optain Health governing the R&D and education activities.

His research has helped attract more than 40+ million dollars in funding as either primary chief investigator or leading chief investigator from grant bodies, including NHMRC (the National Health and Medical Research Council), MRFF (Medical Research Future Fund), ARDC (The Australian Research Data Commons), CSIRO (Commonwealth Scientific and Industrial Research Organisation), ARC (The Australian Research Council), UK Wellcome Trust, and national-wide foundations like the Minderoo foundation, Avant, Asthma Australia Victorian Cancer Agency and industry funding from The Aegies Ventures, NVIDIA (NASDAQ: NVDA), The Agilent Thought Leader Program (NYSE: A), Molemap/Kahu, Ascertain, Shukun and Airdoc (HK.2251).

His h-index is 57, with 18000+ citations only six years post Ph.D. Zongyuan has strong publication record of 100+ first or senior author top-tier (CORE & ERA ranking A*) journals and technical conferences in the machine learning, artificial intelligence and bio-medical research and medical AI fields. His research papers have been published in top-tier journals and conferences such as Nature Medicine, Nature Nanotechnology, Science Advance, The British Medical Journal, The Lancet Digital Health, JAMA Neurology, Neurology, Hypertension Nature Communication, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Medical Imaging (TMI), Medical Imaging Analysis (MIA) and top-tier conference including NeurIPS, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, ICRA, KDD, AAAI, IJCAI, MIDL, IPMI and MICCAI.

His work has been recognised by many international and national awards, including Viertel Senior Medical Fellowship (2025), Australian Museum Eureka Prize for Excellence in Interdisciplinary Scientific Research (2024), Dean's Award for Excellence in Research Enterprise and/or Commercialisation (2024), BUPA Health Services Award (2023), the Australian Pattern Recognition Society (APRS) Early Career Researcher Award (2021), Monash Exceptional Achievement Award (2021), and the IBM Scientific Research Accomplishment Award (2018). The medical AI products co-developed by Airdoc and his team have also won honours such as “the highest award of artificial intelligence in China”–Wu Wenjun Award for Artificial Intelligence Science and Technology twice (2019, 2022) and “the outstanding case of Microsoft global AI cooperation in 2018 World Artificial Intelligence Conference”. 

A/Prof Ge is actively engaged in the scientific community and university service. He is Chief Investigator of the NVIDIA Monash AI Tech Centre and, as a certified NVIDIA Deep Learning Institute (DLI) instructor, coordinates the NVIDIA Student Ambassador Program in Victoria and oversees the Monash–NVIDIA joint centre’s daily activities. He also supports NVIDIA’s efforts to build Australia’s AI ecosystem by delivering short courses, organising deep learning workshops, and giving keynote and plenary talks to broad scientific audiences. Previously, through roles with the Monash eResearch Centre and the Data Science & AI Platform, he contributed to optimising Monash’s high-performance computing and data science infrastructure, including the nationally significant Monash-hosted specialised facility for medical imaging and visualisation. He serves on the program or technical committees of leading conferences (e.g., AAAI, IJCAI) and as associate editor/reviewer for top journals including Nature, Nature Medicine, The Lancet Digital Health, IEEE TMI and IEEE PAMI. He also served on the establishment team for Monash’s AI supercomputer MAVERIC and the procurement working group, contributing to system requirements (AI workloads, security and governance-by-design), partner engagement, vendor evaluation (HPE, Dell, Xeon). This work underpins Monash’s AU$60m investment in Australia’s first higher-education AI supercomputer, to be delivered in Q2 2026 in partnership with NVIDIA, Dell Technologies and CDC Data Centres, featuring the NVIDIA GB200 NVL72 platform to strengthen sovereign capability in health, climate and other mission-driven research.

Professional Memberships and Service

Professional and community service

• ACRF ACEMID Executive Committee, 2025-
• Monash University School of Public Health and Preventive Medicine Data Strategy Committee, 2025-
• MAVRIC Project and Procurement Committee, 2024-2025
• Research Advisory Committee, Australian Centre of Excellence Melanoma Imaging Diagnosis, 2018-
• The Australian Research Data Commons (ARDC) Scientific Advisory Committee, 2019-2022
• Member at Large, Australian Pattern Recognition Society, 2020-
• International Society for Artificial Intelligence and Robotics (ISAIR), Board of Directors, Oceania Vice-Chair, 2021-
• NVIDIA AI Tech Centre Monash Node Coordinator, 2018-
• University Ambassador & Certified Instructor for NVIDIA DLI Global Program, 2018-2022
• Steering Group member, Monash Data Science and AI platform, 2019-2022
• Panel Assessors, Monash University Central Clinical School, Faculty of Medicine, 2021-
• Medical Future Fund AI Workshop Coordinator, 2020-

Journal

• Nature, Reviewer, 2025-
• Nature Medicine, Reviewer, 2025-
• Dermatology Practical & Conceptual, co-editor, 2025
• Cognitive Robotics, Editorial Board Member, 2022-
• Artificial Intelligence for Mobile Robotic Networks, Editorial Board Member, 2020-
• Scientific Reports, Associate Editor, 2022, 2023
• Sensors, Guest Editor, 2021-2023
• The Lancet Regional Health, Reviewer
• Nature Communication, Reviewer
• Transactions on Medical Imaging (TMI), Reviewer (CORE Rank A*)
• Transactions on Pattern Analysis and Machine Learning (TPAMI), Reviewer (CORE Rank A*)
• IEEE Transactions on Image Processing (TIP), Reviewer (CORE Rank A*)
• IEEE Transaction on Multimedia (ToM), Reviewer (CORE Rank A*)
• International Journal of Computer Vision (IJCV), Reviewer
• Pattern Recognition (PR), Reviewer (CORE Rank A*)
• Journal of Biomedical and Health Informatics (JBHI), Reviewer (CORE Rank A*)
• Nature Scientific Reports, Reviewer
• Cancers by MDPI, Reviewer
• ACM Transactions on Multimedia Computing, Communications and Applications, Reviewer
• PLOS Computational Biology, Reviewer
• ELSEVIER Computers & Electrical Engineering, Reviewer
• International Journal of Applied Mathematics and Computer Science (AMCS), Reviewer
• IBM Journal of Research and Development, Reviewer