Dr Vardhanabhuti completed his medical degree at Guy's, King's and St Thomas' School of Medicine in London, UK in 2005. He had subsequent training in London, Oxford, Plymouth, Exeter, and completed his Radiology training at Imperial College Healthcare NHS Trust, UK whilst completing a PhD during his residency training. He then joined the Faculty of Medicine at the University of Hong Kong in 2014 as a Clinical Assistant Professor.
His research focuses on computed tomography, and spectral CT imaging as well as the utilisation of quantitative imaging, such as radiomics leveraging machine learning and artificial intelligence. He is engaging with various research projects relating to medical imaging, with the goal of early clinical translation, with multi-disciplinary international collaboration. He has wide-ranging projects including the use of quantitative radiomics in cancer prognostication, radiogenomic studies, using deep learning approach for automatic segmentation and spectral CT imaging reconstruction. To date, he has over 70 peer-reviewed journal publications and over 100 conference presentations.
He is currently serving as the Vice Chair for Community Engagement in the International Society of Radiology. He is the co-director for Medical Artificial Imaging Lab (MAIL) at HKUMed. He is an advocate for international engagement via social media and collaborates with c.1500 leading voices in AI-powered medical research globally. He is passionate about using technology in education and has previously served as a Microsoft Cloud Research Software Fellow and an Amazon Faculty Ambassador in AWS Educate Cloud Ambassador Program.