Frank Po-Yen Lin

Dr Frank Po-Yen Lin is a medical oncologist and clinical informatician based in Sydney, Australia with conjoint research appointments at the NHMRC Clinical Trial Centre, University of Sydney and the Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research.

Education:

• 2022: Fellowship of the Australasian Institute of Digital Health (FAIDH)
• 2019: Fellowship of the Royal Australasian College of Physicians (FRACP), Internal Medicine (Medical Oncology)
• 2009: PhD in Medical Informatics, University of New South Wales
• 2003: MB ChB, University of Otago, New Zealand

Dr Lin's research focuses on evidence-based precision medicine and the application of digital health in oncology, with particular emphasis on empowering genomic decision-making, multidisciplinary care, and biomarker development through artificial intelligence and machine learning. He is co-investigator of several clinical trials in early drug development as part of the Australian Genomic Cancer Medicine Program and leads the development of the TOPOGRAPH precision oncology knowledgebase and open source resources for treatment decision-support and electronic medical record analytics.

His publication portfolio includes 52 journal articles, 2 book chapters, 6 conference papers, 1 conference poster, 9 conference abstracts, and 6 preprints, demonstrating substantial scholarly output across his research domains. Analysis of his recent work reveals a strong emphasis on integrating AI with clinical oncology practice, developing decision-support tools, and advancing precision medicine implementation.

Professional Recognition:

• Associate Editor of JCO Clinical Cancer Informatics
• Chief investigator and co-investigator on multiple research grants
• Fellowship of the Australasian Institute of Digital Health (2022)
• Fellowship of the Royal Australasian College of Physicians (2019)

Dr Lin actively supervises research candidates in medical oncology, precision oncology, clinical trials, artificial intelligence applications in medicine, applied and translational genomics, and medical informatics decision-support systems. His work bridges clinical oncology practice with cutting-edge informatics approaches to improve cancer care delivery and outcomes.