Rate My Professor Julian Koplin

Dr Julian Koplin is a Lecturer in Bioethics at the Monash Bioethics Centre in the Faculty of Arts at Monash University. He was awarded his PhD in bioethics from Monash University in 2017. From 2018 to 2022, he held a Research Fellow position with the Biomedical Ethics Research Group at the Murdoch Children’s Research Institute and Melbourne Law School, University of Melbourne. Koplin's research interests encompass human tissue ethics, stem cell ethics, and the ethical implications of emerging biotechnologies. These include new reproductive technologies, the use of artificial intelligence in embryo assessment and procedural consent, organ allocation, the moral status of brain organoids, human-pig chimeras, and germline gene editing. His work examines the moral limits of such innovations and proposes frameworks for responsible research and policy.

Koplin has produced over 50 research outputs, including 32 peer-reviewed articles, book chapters, and reviews. Among his most cited publications are 'Moral limits of brain organoid research' with J Savulescu in the Journal of Law, Medicine & Ethics (2019, 151 citations), 'Assessing the likely harms to kidney vendors in regulated organ markets' in The American Journal of Bioethics (2014, 107 citations), and 'Consent-GPT: is it ethical to delegate procedural consent to conversational AI?' with JW Allen, BD Earp, and D Wilkinson in the Journal of Medical Ethics (2024, 69 citations). Recent contributions include 'Ethics of artificial intelligence in embryo assessment: mapping the terrain' in Human Reproduction (2025), 'Human embryo research: how to move towards a 28-day limit' in Nature (2025), and 'Should we use behavioural predictions in organ allocation?' in Bioethics (2025). He has contributed to governmental inquiries, including submissions on mitochondrial donation law reform (2021) and increasing organ and tissue donors (2023). Koplin has also engaged in public discourse through media on topics such as lab-grown hybrid lifeforms and generative AI risks. His projects include investigations into ethical issues in machine learning for embryo selection, funded as Chief Investigator.