Biomedical Data Analysis and Visualisation (BDAV) Lab

About us

The Biomedical Data Analysis and Visualisation (BDAV) Lab focuses on developing machine learning, statistical, and computational techniques to analyze and interpret multimodal biomedical data. Our aim is to enable precision medicine and biomedical discovery by integrating information across imaging, omics, clinical, and electronic health record data.

Professor Jinman Kim is a Professor of computer science at the University of Sydney. He established and leads the Biomedical Data Analysis and Visualisation (BDAV) Lab at the School of Computer Science. He is the Imaging Theme Leader of the ARC Training Centre in Innovative Biomedical Engineering on musculoskeletal technologies. He is the also the Director of the Telehealth and Technology Center, Nepean hospital. Prof Kim co-leads the ‘digital health imaging’, as part of the Faculty of Engineering’s Digital Science Initiative, with the vision and strategy to improve the use and accessibility of medical imaging via AI innovations.

Professor Jinman Kim's research is in the intersection of machine learning for biomedical image analysis and visualization (part of AI), with a focus on multi-modal biomedical data processing. He continuously publishes in top venues in his field and received multiple competitive grants and scientific recognitions. Prof. Kim is actively involved in his research communities where he is an Associate Editor of CMPB and Visual Computer, and a reviewer for major journals and conferences in his field. Notable publications include Medical Image Analysis, Nature Communications, Nature Methods, IEEE Transactions on Medical Imaging, MICCAI, ICCV, CVPR and ECCV.