The combined workshop: Advancing clinical outcomes with computational technologies is jointly hosted by ARC Training Centre for Innovative Bioengineering and Sydney Musculoskeletal Bone and Joint Health Alliance. Bringing together scientists, engineers, clinicians, industry, early career researchers and students, and driven by imminent clinical needs in musculoskeletal health, this event will be an idea incubator for new biomedical engineering solutions and health technologies. Over an interactive half day program, the event will feature focus talks on the advancements of computational technologies, including emerging topics in Artificial Intelligence, Data Science, Ethics, and Advanced Visualisation.There will be breakout group discussions and one-on-one interactions to exchange ideas across disciplines.
Prof. Sally Cripps is an internationally recognised scholar and Professor in Bayesian statistics, a Professor of Maths and Statistics at the University of Sydney and ex-Director of the ARC Centre Data Analytics for Resources and Environments (DARE). She holds a bachelor degree in Chemical Engineering from the University of Sydney, an MBA from the University of Western Australia and a PhD in statistics from the University of NSW. She is also Chair of the International Society for Bayesian Analysis’s section Bayesian Education and Research in Practice. Sally’s research focus is the development of new and novel probabilistic models which are motivated by the need to solve an applied problem with the potential for impact. She has particular expertise in the use of mixture models for complex phenomenon, modelling longitudinal data, nonparametric regression, the spectral analysis of time series, and the construction of transitions kernels in MCMC schemes which efficiently explore posterior distributions of interest.
Prof. Jinyan Li is a Professor of Data Science and Program Leader of Bioinformatics at the Data Science Institute, Faculty of Engineering & IT, University of Technology Sydney, Australia. He has been actively working on data mining and bioinformatics for 20 years. He has published 240 papers, including 130 papers in prestigious journals of data mining, machine learning, and computational biology. He is widely known for his pioneering research on the theories and algorithms of Emerging Patterns (EPs). One of these papers has received 1300 Google Scholar citations. Jinyan has a Bachelor degree of Science (Applied Mathematics) from National University of Defense Technology (China), a Master degree of Engineering (Computer Engineering) from Hebei University of Technology (China), and a PhD degree (Computer Science) from the University of Melbourne (Australia). More details of his research can be found at http://www.uts.edu.au/staff/jinyan.li
Associate Professor Adam Dunn is Director of Biomedical Informatics and Digital Health and Associate Professor, Faculty of Medicine and Health, The University of Sydney. His research is focused on applications of data science and machine learning in clinical epidemiology, aiming to improve health behaviours by monitoring how evidence and misinformation are taken up by the public. He is/was an investigator or co-investigator on projects funded by the NHMRC, AHRQ, and NLM/MIH; is/was an Associate Editor for Medical Informatics and Decision Making, Systematic Reviews, and Research Integrity and Peer Review; and is an Editorial Board member for JAMIA Open.
Dr Craig Willers is the National Director of the Australian Arthritis and Autoimmune Biobank Collaborative (A3BC), University of Sydney. Since completing his PhD in orthopaedic tissue engineering, he has worked in health and medical research (mainly musculoskeletal) within university, healthcare, industry, charity and government (NSW Health).His core expertise and interest are large scale, integrated data/informatics and biobanking projects that facilitate collaboration and develop more holistic data models for innovative discovery and efficient evidence-based advances in both patient and population health.
Dr. Mounir Boudali is an Orthopaedics Research Engineer at The Kolling Institute, Department of Orthopaedics. In 2019, he received his PhD degree in Robotics and Control Theory from the Australian Centre for Field Robotics, the University of Sydney. His research interests include control theory, instrumentation, and human lower limb joints.
Dr. Yuan Chai is a Postdoctoral Researcher in the Northern Clinical School of the University of Sydney. His research interests include medical imaging, 3D modelling, pre-operative planning, personalized design, and 3D printing. He received his Ph.D. degree in Medicine from the Medical School of the Australian National University in 2019, and his bachelor’s degree in engineering from China University of Mining and Technology in 2014. He studied at the Pennsylvania State University in 2014 and gained a background in 3D printing technology.
Associate Professor Jinman Kim received his PhD in Computer Science from the University of Sydney in 2005. He is currently the Director of the Visual TeleHealth Lab, the Biomedical & Multimedia Information Technology (BMIT) Research Group , School of Computer Science, Faculty of Engineering and Information Technologies, University of Sydney. As an active key member of the BMIT Research Group, he is in charge of a research commercialisation and industry links. He has produced a number of impact publications, including IEEE Transactions, Medical Image Analysis, etc., and received several prestigious external completive grants, including the ARC Discovery and Linkage grants. He is also a Theme Leader in the Faculty’s Institute of Biomedical Engineering and Technologies (BMET).
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