Roslyn Francis

A/Prof Francis is an academic Nuclear Medicine Physician. She is A/Prof of Molecular Imaging with University of Western Australia and is Head of Department of Nuclear Medicine/ WA PET Service at Sir Charles Gairdner Hospital.

A/Prof Francis obtained her medical degree at UWA before travelling to the UK to undertake a Cancer Research UK Clinical Research Fellowship and a PhD at the Royal Free Hospital London on antibody therapies. On returning to Australia she completed specialist training in Nuclear Medicine, and continued her research endeavors, resulting in a joint clinical/academic appointment since 2010.

A/Prof Francis has a particular interest in novel molecular imaging /PET tracers, and has contributed to research in oncology, cardiology, neurology and inflammatory diseases. She has expertise in clinical trials in Nuclear Medicine, including trial design and conduct. She has a particular interest in quantitative data and in comparable data-sets, which is built on the foundation of harmonization and quality in Nuclear Medicine clinical trials.

A/Prof Francis has local, national and international collaborations. She is co-investigator on a recent NHMRC CRE grant for National Centre for Asbestos Related Diseases, led by Prof Nowak. A/Prof Francis leads the molecular imaging component of this integrated research program. A/Prof Francis is a co-investigator on several multicentre collaborative clinical trials including MRFF grant of >$1.5 million to support a multicenter clinical trial of FET PET imaging in high grade glioma, two Prostate Cancer Research Alliance/ Movember Australia $4 million national grants supporting theranostic approaches to prostate cancer and an MRFF Neurological Disorders grant in Alzheimer’s disease.

A/Prof Francis has been integral in the establishment of Australasian Radiopharmaceutical Trials Network (ARTnet) and has been the inaugural scientific chair since 2014. This network has facilitated several successful multicentre clinical trials in Australia, which have international impact. ARTnet has also established quality programs including PET camera accreditation, and radiopharmaceutical production standards which are critical for imaging validity in multicentre trials.

In 2020 A/Prof Francis was appointed Deputy Director of WA National Imaging Facility (NIF) node. In partnership with WA NIF node Director, Prof Paul Parizel, they are working with UWA and partners to deliver a new dedicated human research imaging facility including 3T MRI and digital PET-CT. This facility will be a significant boost to researchers, patients and clinical trials in Western Australia.

A/Prof Francis has recently collaborated with Prof Martin Ebert to establish the Australian Centre for Quantitative Imaging (ACQI). ACQI represents an innovative approach in medical imaging to enhance and develop opportunities in quantitative imaging and AI.

Christoph Hagemeyer

Prof Hagemeyer is a Senior Research Fellow of the NHMRC and Head of the NanoBiotechnology Laboratory at the Australian Centre for Blood Diseases (Monash University). He studied Chemistry in Germany and obtained a PhD in Biochemistry from the University of Freiburg (Germany) for contributions to the field of Cytochrome P450 metabolism in the brain. As a postdoctoral fellow, he worked in the field of Magnetic Resonance Imaging (MRI) at the “Centre national de la recherche scientifique” in Bordeaux (France) before migrating to Australia in 2005. He has particular expertise in the use of small recombinant single-chain antibodies for molecular imaging and drug delivery. He has work extensively in cardiovascular research developing anti-thrombotic fusion proteins and novel imaging probes for MRI, Ultrasound and Positron Emission Tomography. He has published widely in leading journals (Circ Res, Adv Mater, Angew Chem..) on vascular biology, molecular imaging, recombinant antibodies and nanotechnology and has been supported throughout his career by national and international fellowships and grants.

Sara Motamen

Dr Sara Motamen is the Training and Community Engagement Manager for the Australian Research Data Commons (ARDC)’s Australian Characterisation Commons at Scale (ACCS) project.

Sara completed her PhD at Griffith Institute for Drug Discovery, Griffith University in 2020 followed by postdoctoral work at QIMR Berghofer Medical Research Institute. Her research focused on developing anti-tuberculosis and anti-viral drugs. She has joined the Australian Characterisation Commons at Scale (ACCS) project to help thousands of researchers find and access digital characterisation resources, including online environments, computing facilities, data, training, and events.

Sarah Flaim

Dr Sarah Flaim is National Imaging Facility’s Chief Operating Officer.

Sarah brings a valuable skillset to NIF, and joins us from The University of Queensland, where she was most recently the School Manager in the School of IT and Electrical Engineering, managing core operational activities and providing oversight and leadership of a team of 30 professional staff. She has a passion for leading high-performing teams, enhancing workplace culture and identifying pragmatic solutions to the operational challenges facing academic institutions.

Prior to this, Sarah held a number of specialist research management roles across several UQ faculties and central units and has an in-depth understanding of the life cycle of research projects. Before joining UQ in 2010, Sarah was a postdoctoral Junior Research Fellow at Balliol College at the University of Oxford, where she undertook interdisciplinary research in computational biology focusing on the electrophysiology of the mammalian heart.

Paul Bonnington

Professor Paul Bonnington joined UQ in 2022 as Pro-Vice Chancellor (Research and Infrastructure).

He has decades of experience within research infrastructure in the tertiary sector, providing researchers with access to major computing, software, and analytics capability.

Prior to joining, he was Director of eResearch at Monash University. Paul led a multi-disciplinary centre of over 50 eResearch, data and computational professionals providing expertise to computing, visualisation and data capabilities for numerous research areas.

Under Paul’s direction, the Monash eResearch Centre hosted federally-funded national eResearch infrastructure worth more than $27 million, for specialised high-performance computing, research cloud services and data storage and data management, underpinning the data-centric research of over 4,000 researchers. He also led numerous state and national research infrastructure initiatives while at Monash.

At the University of Auckland, Paul established New Zealand’s first eResearch program.

Paul’s major research interests lie in graph-theory, medical AI, and developing advanced computational solutions to combinatorial problems.

Paul has also served on numerous state and national boards in the research and research infrastructure areas, including the current Australian Earth-System Simulator National Research Infrastructure (ACCESS-NRI) Board.

Kh Tohidul Islam

Dr Kh Tohidul Islam is currently working as an Imaging Scientist Research Fellow at Monash Biomedical Imaging, Monash University, Clayton, Australia. He received his B.S. degree in Electrical and Electronic Engineering in 2013 from Prime University, Bangladesh, an MBA in 2015 from Lincoln University College, Malaysia, followed by a Master of Computer Science (A.I.) in 2017 from the University of Malaya, Malaysia, and his PhD in MDHS (computer vision, A.I., and image processing) in 2022 from the University of Melbourne, Australia. Before joining Monash University, he worked as a Research Assistant at the University of Malaya and subsequently as an Academic Support at the University of Melbourne. Then he served as a Research Assistant at Edith Cowan University, Australia and was followed by another Research Assistant position at the University of Melbourne.

His research interests include medical image processing (classification, registration, and segmentation), machine learning and deep learning, and AI. Recently he has focused on ultra-low-field (64mT) MRI analysis, reconstruction, and their clinical utilities using deep learning for his current position at Monash University.

 

Heidi Espedal

Heidi Espedal is a Research Fellow at the University of Western Australia, where she is the National Imaging Facility (NIF) fellow overseeing the new human PET-CT scanner being installed in the Western Australian NIF node.

Heidi has a biomedical background with a BSc in Biochemistry (University of Stavanger, Norway), MSc in Medical Cell Biology and a PhD in Neuro-Oncology (both University of Bergen, Norway, 2015). From 2015 and until joining NIF, Heidi was the platform leader of the preclinical PET-CT facilities at the Molecular Imaging Center (MIC), University of Bergen. Heidi established the preclinical MRI and PET imaging platform for gynecological cancer as part of her postdoctoral research project. Heidi has an ongoing research collaboration for gynecological cancer with the Mohn Medical Imaging and Visualization Centre (MMIV) at Haukeland University Hospital and University of Bergen, Norway.

Heidi’s research interest include dynamic PET imaging techniques and improved quantitative image analyses.

Jennifer Rumbel

Jenn is a Kamilaroi woman with a passion for empowering Aboriginal people and communities She has undergraduate degrees in Theology and Aboriginal Studies with Newcatle university. Currently Jenn is PhD Candidate in Aboriginal Studies with the Wollotuka Institute at the University of Newcastle, looking at the impact of the Catholic Church in the Maitland-Newcastle Diocese on Aboriginal Spirituality health and wellbeing.

Her previous Aboriginal research roles include the Memory Study with the Health Behaviour Collaborative and Driving Change with the George Institute.

Jenn is a member of the Aboriginal Catholic Ministry in the Maitland-Newcastle Diocese and the current Chair of Firstchance Early Childhood Early Intervention service in Newcastle, which supports a number of local Aboriginal led early childhood services and a member of the Lowitja Institute Members Community.

She also holds a fellow ship co-funded by the National Imaging Facility and Systems Neuroscience Group to foster Indigenous collaboration and ownership in the field of imaging research to improve the health and wellbeing of Indigenous Australians.

Guy Cameron

Guy is a proud Wailwan (Aboriginal) man with a Doctorate of Philosophy (Immunology and Microbiology). Guy is a post-doctoral researcher working as part of the Aboriginal ear and immune health, expanding our knowledge on ear disease which disproportionally affect Aboriginal and Torres strait Islander children. He also holds a fellowship co-funded by the national imaging facility and systems neuroscience group to foster Indigenous collaboration and ownership in the field of imaging research to improve the health and wellbeing of Indigenous Australians. Additionally, Guy is an Indigenous tutor and mentor with the Wollotuka Institute, striving to assist mob with getting equal opportunity.

Mahdieh Dashtbani Moghari

Dr. Mahdieh Dashtbani Moghari specialises in biomedical image processing (MRI, CT, CT perfusion), data analysis, artificial intelligence (AI), computer vision, predictive analytics, and statistics. She completed her Master of Research degree (HD) in Applied Physics at Macquarie University in 2017 and has since done PhD (Grade A) in Biomedical Engineering and subsequent post-doctoral research at the University of Sydney.

She has developed optimised algorithms to extract meaningful information from the clinical data/images, improve quantitative analysis of high-volume and high-dimensional clinical data, enhance image quality, and optimise imaging protocol. She has done collaborative research work with Westmead hospital, Macquarie University, UNSW, and Aurecon’s data science team.

She is currently working as neuroimaging analysis fellow with the University of Sydney and NIF. Her work focuses on developing optimised pipelines for quantitative analysis of clinical MRI (fMRI, diffusion MRI, perfusion MRI, structural MRI) and clinical data.

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