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I am an Intensive Care Unit Principal House Officer at Mater Hospital with research interests in critical care medicine, digital health, and healthcare improvement. I am particularly interested in exploring their intersection to improve patient outcomes.

Alongside my clinical work, I am passionate about educating the next generation of medical professionals, teaching clinical skills, anatomy and histology to medical and allied health students at The University of Queensland.

Dr Chan has a PhD in Genomics and Computational Biology from UQ. He underwent postdoctoral training at Rutgers University (USA) in algal genomics and evolution. He returmed to UQ in late 2011 as one of the inaugural Great Barrier Reef Foundation Bioinformatics Fellows.

Dr Chan joined the School of Chemistry and Molecular Biosciences in 2020 as a group leader at the Australian Centre for Ecogenomics (ACE). His group uses advanced computational approaches to study genome evolution and develop scalable approaches for comparative genomics.

Dr. Gary Chan is a NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research. His principal research interest lies in the field of substance misuse prevention and the application of cutting-edge statistical method for longitudinal analysis and causal inference. He was awarded over $13m funding as chief investigator and has over 200 publications. His recent research focuses on addiction epidemiology, including vaping, cannabis use, and behavioral addiction such as gaming disorder. He collaborates extensively with leading researchers in major national and international institutes, including the University of Washington, Murdoch Children's Research Institute, University of Melbourne, and University College London. He has also served as a consultant at the United Nations Office of Drugs and Crime to improve exisitng methods for monitoring global trends of illicit substance production, trafficking and use. This work has made significant impact on how global data will be collected, and these new data will be used by the United nations and many national governments to inform drug policy decision making. He is a Deputy Statistical and Methodology Editor for the journal Addiction.

Shakes an imaging expert that leads a strong deep learning, artificial intelligence (AI) focused research team interested in medical image analysis and signal/image processing applied to many areas of science and medicine. He received his Ph.D in Theoretical Physics from Monash University, Melbourne and has been involved in applying machine learning in medical imaging for over a decade.

Shakes’ past work has involved developing shape model-based algorithms for knee, hip and shoulder joint segmentation that is being developed and deployed as a product on the Siemens syngo.via platform. More recent work involves deep learning based algorithms for semantic segmentation and manifold learning of imaging data. Broadly, he is interested in understanding and developing the mathematical basis of imaging, image analysis algorithms and physical systems. He has developed algorithms that utilise exotic mathematical structures such as fractals, turbulence, group theoretic concepts and number theory in the image processing approaches that he has developed.

He is currently a Senior Lecturer and leads a team of 20+ researchers working image analysis and AI research across healthcare and medicine. He currently teaches the computer science courses Theory of Computation and Pattern Recognition and Analysis.

I received my Master of Science from the Johann-Wolfgang-Goethe Universitaet in Frankfurt am Main in Germany. I completed my Master’s project at the Paul Ehrlich Federal Institute for Sera and Vaccines in Langen where I investigated the impact of vaccinia virus‐induced type I interferons on T cells. Between 2007 and 2011, I completed my PhD studies in the Department of Experimental Immunology of the University of Zurich in Switzerland mentored by Prof. Burkhard Becher, where I investigated the role of NFkB‐inducing kinase (NIK) in cell‐mediated immunity and autoimmunity. It was then that I specialized in professional antigen-presenting cells and their properties in health and disease.

In 2012, I received a 3-year post-doctoral research fellowship to join Prof. Ian Frazer's research team at the University of Queensland (UQ). My studies here focussed on the role of different types of professional antigen-presenting cells in human papillomavirus (HPV)-driven immune suppression that enables development of cervical cancer and a proportion of head and neck cancers. In 2015, I joined the team of biotech company Admedus Vaccines Pty Ltd. as Senior Scientist, with the aim to develop immunotherapeutic vaccine strategies to combat chronic herpes-simplex 2 infections and HPV-induced malignancies. I delivered a pre-clinical research program leading to 3 clinical trials. In 2019, I re-joined UQ as Research Fellow, where I continued my research interest in human papillomavirus-driven immune suppression in antigen-presenting cells, with the aim to develop new experimental therapies that can modulate the performance of these cells.

Since 2023, I lead my own lab at the UQ Frazer Institute and focussed on deciphering intra-tumour and systemic immune regulations of professional antigen-presenting cells, with a special interest in cutaneous and mucosal squamous cell cancers of the head and neck.

Manju Chandrasegaram is a General and Hepato-Pancreato-Biliary (HPB) Surgeon and clinical leader dedicated to advancing care for patients with complex gastrointestinal disease. Her research focuses on pancreatic cancer and the substratification of periampullary cancers into distinct biological and clinical subtypes, with the aim of refining prognosis and personalising treatment strategies.

She leads and supervises clinical research programs in General and HPB surgery, fostering a collaborative research culture that integrates translational science with frontline surgical practice. In addition, she oversees the development and maintenance of a prospective hospital-based colorectal database to support high-quality outcomes research and continuous quality improvement.

Through mentorship of clinicians and students, she champions rigorous clinical research to inform evidence-based practice and improve patient care.

Dr Chang's research interests lie in the fields of pragmatics, intercultural communication and business negotiation, with a focus on studying face, (im)politeness and humour. She is the author of face and face practices in Chinese talk-in-interactions: an empirical analysis of business interactions in Taiwan (2016, Equinox). She has also published a number of papers in edited volumes and international journals such as Journal of Pragmatics, Intercultural Pragmatics, International Review of Applied Linguistics in Language teaching, Journal of Politeness Research, Pragmatics, Multilingua, Lingua, and East Asian Pragmatics.

Her current research includes anaylsis of initial interactions in inter/intra-cultural settings and the role of humor in Australia-Chinese intercultural interactions.

Hubert Chanson is Professor of Civil Engineering at the University of Queensland, where he has been since 1990, having previously enjoyed an industrial career for six years. His main field of expertise is environmental fluid mechanics and hydraulic engineering, both in terms of theoretical fundamentals, physical and numerical modelling. He leads a group of 5-10 researchers, largely targeting flows around hydraulic structures, two-phase (gas-liquid and solid-liquid) free-surface flows, turbulence in steady and unsteady open channel flows, using computation, lab-scale experiments, field work and analysis. He has published over 1,250 peer reviewed publications including two dozen of books. He serves on the editorial boards of International Journal of Multiphase Flow, Flow Measurement and Instrumentation, and Environmental Fluid Mechanics, the latter of which he is currently a senior Editor. He chaired the Organisation of the 34th IAHR World Congress in June 2011 and of the 22nd Australasian Fluid Mechanics Conference in December 2020, both held in Brisbane, Australia.

Dr Archie Chapman is an Associate Professor in Computer Science in the School of Electrical Engineering and Computer Science.

Archie develops and applies principled artificial intelligence, game theory, optimisation and machine learning methods to solve large-scale and dynamic allocation, scheduling and queuing problems. His recent research has focused on applications of these techniques to problems in future power systems, such as integrating large amounts of renewable power generation and using batteries and flexible loads to provide power network and system services, while making best use of legacy network and generation infrastructure.

Prior to joining UQ, Archie was Research Fellow in Smart Grids at the University of Sydney (2011-2019), and a postdoc fellow at the University of Southampton (2009-2010), where he completed his PhD.

Summary of Research:

• My current research at UQ is as Professor in this School (teaching AGRC3040 Crop Physiology) and as an Affiliate Professor of QAAFI. Since 2020, with full-time appointment at UQ, my research portfolio has included multiple projects in applications of machine learning and artificial intelligence into the ag domain. This area is developing rapidly and across UQ, I am engaging with faculty in multiple schools (ITEE, Maths and Physics, Mining and Mech Engineering) as well as in the Research Computing Centre to develop new projects and training opportunities at the interface of field agriculture and these new digital analytics.
• My career research has been around genetic and environment effects on physiology of field crops, particularly where drought dominates. Application of quantitative approaches (crop simulation and statistical methods) and phenotyping (aerial imaging, canopy monitoring) to integrate the understanding of interactions of genetics, growth and development and the bio-physical environment on crop yield. In recent years, this work has expanded more generally into various applications in digital agriculture from work on canopy temperature sensing for irrigation decisions (CSIRO Entrepreneurship Award 2022) through to applications of deep-learning to imagery to assist breeding programs.
• Much of this research was undertaken with CSIRO since 1996. Building on an almost continuous collaboration with UQ over that time, including as an Adjunct Professor to QAAFI, Prof Chapman was jointly appointed (50%) as a Professor in Crop Physiology in the UQ School of Agriculture and Food Sciences from 2017 to 2020, and at 100% with UQ from Sep 2020. He has led numerous research projects that impact local and global public and private breeding programs in wheat, sorghum, sunflower and sugarcane; led a national research program on research in ‘Climate-Ready Cereals’ in the early 2010s; and was one of the first researchers to deploy UAV technologies to monitor plant breeding programs. Current projects include a US DoE project with Purdue University, and multiple projects with CSIRO, U Adelaide, La Trobe, INRA (France) and U Tokyo. With > 8500 citations, Prof Chapman is currently in the top 1% of authors cited in the ESI fields of Plant and Animal Sciences and in Agricultural Sciences.