People
Who is in the lab
The AIML medical machine learning group was founded in 2017 with two academics and grew past 42+ people by 2024. 10 PhD candidates are currently supervised across medicine, computer science and biomedical engineering, and 9 doctorates have completed under the leads.
Lab leads
Johan Verjans
Co-lead · Associate Professor and Future Industry Making Fellow, AIML · MD PhD FRACP FESCCardiologist and AI researcher. Founded the AIML medical machine learning group in 2017 with Professor Gustavo Carneiro and led it as Deputy Director (Health) from 2018 to 2024, growing it past 42 people. Platform Leader for AI at SAHMRI since 2019, and a consultant cardiologist at the Royal Adelaide Hospital and Jones Radiology. MD and PhD (cardiovascular imaging) from Maastricht University; cardiology training at UMC Utrecht; cardiac MRI fellowship at St Bartholomew's, London; postdoctoral fellow at Massachusetts General Hospital and Harvard Medical School. Level 3 (advanced) cardiac MR, EACVI and ANZCMR certified.
Sole senior author, with his own PhD student as first author, on methods at NeurIPS and ICML; senior author in npj Digital Medicine. Founder and AI lead of AUScribe; AI lead for AutoMedic and RAPIDx AI. Member of the Heart Foundation's Research Advisory Committee (2026–) and the ESC Working Group on e-Cardiology (2025–); editorial board of European Heart Journal – Digital Health and Frontiers in Cardiovascular Medicine; AIML's representative in ACAIM, the Global Alliance of AI Centres in Medicine, alongside Stanford, Mayo Clinic, Cleveland Clinic and Bern. Site principal investigator for the finerenone trial programme (FIGARO-DKD, NEJM 2021).
Zhibin Liao
Co-lead and technical co-lead · Senior Lecturer, School of Computer Science and Mathematical Sciences · Senior Research Fellow, AIMLComputer vision researcher with more than a decade in medical AI. PhD at the University of Adelaide with Professor Gustavo Carneiro as part of the ARC Centre of Excellence for Robotic Vision, then a postdoctoral fellowship at the University of British Columbia (2017–2019) on AI for cardiovascular ultrasound. AI lead for the NHMRC RAPIDx AI partnership project (2021–2023) with SA Health.
Technical co-lead on the group's computer vision output, appearing in the supervising-author block on its CVPR, ICCV, ECCV and MICCAI papers, covering hallucination detection in vision-language models, counterfactual explanation, concept bottlenecks and out-of-distribution segmentation. 60+ peer-reviewed papers; 2,880+ citations, h-index 27; field-weighted citation impact 3.1 with 40% of publications in the global top 10% most cited; co-inventor on two granted US patents. Winner of the 2020 ImageCLEF VQA-Med and VQG-Med challenge. Teaches Artificial Intelligence and Computer Vision at Adelaide.
Senior collaborators and adjuncts
PhD candidates
Completed doctorates
Where alumni are now
More than twenty students and fellows have passed through the wider group since 2017, and nine doctorates have completed under the two leads. Several have gone into industry research at Google, NVIDIA and Cropify, and others to academic independence, including a continuing lectureship at La Trobe University.