Scholar
A/Prof Johan Verjans MD PhD FESC FRACP
Google Scholar ID: 57JVdyIAAAAJ
Australian Institute for Machine Learning, University of Adelaide
Citations & Impact
Citations
8,276
H-index
34
i10-index
78
Publications
20
Co-authors
39
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Formed the Medical Machine Learning group at AIML and used his combined clinical, biomedical, and technical expertise to lead a rapidly growing group of clinicians, biomedical experts, and researchers.
Research Experience
- Deputy Director at the Australian Institute for Machine Learning (AIML); AI platform leader at SAHMRI; Clinician at Royal Adelaide Hospital; Recruited by the University of Adelaide in 2017 and recipient of the University's Future Industry Making Fellowship in 2022.
Education
- Graduated in medicine from Maastricht University via an MD-PhD track after being awarded the DiPalma Fellowship to work with the renowned Professor Narula in Philadelphia and UC Irvine. During cardiology training, he was awarded a prestigious Rubicon Fellowship by the Dutch Science Foundation to complete a post-doctoral fellowship at Massachusetts General Hospital/Harvard Medical School, followed by a clinician-scientist award at the University Medical Centre Utrecht during his cardiology training.
Background
- A clinician-scientist with a research focus on cross-disciplinary translational research and a track record in leadership. During his tenure as Deputy Director at the Australian Institute for Machine Learning (AIML) and as AI platform leader at SAHMRI, he combines experience in molecular medicine and clinical research with vast experience working with engineers for advanced imaging techniques, and computer scientists to apply machine learning to medical problems to translate research into the clinic.
