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

Mr. Kh Tohidul Islam is currently working as an Imaging Scientist Research Fellow at Monash Biomedical Imaging. He focuses on ultra-low-field (64mT) MRI analysis, reconstruction, and clinical utilities using Deep Learning. During his Ph.D. at the University of Melbourne, deep learning for multi-modal medical image processing, Mr. Kh Tohidul also worked as a research assistant for Artificial Intelligence (AI) support for the Melbourne Centre for Data Science (MCDS) project. He holds a Master of Computer Science (by research) in AI from the University of Malaya and an MBA from Lincoln University College, Malaysia. When he finished his Bachelor of Science in Electrical and Electronic Engineering at Prime University, Bangladesh, he gained a strong interest in programming languages, especially C, C++, and MATLAB.

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.

Peter Bugeia

Peter is an eResearch professional, with over twelve years experience providing research computing, research data storage and management solutions to Australian researchers.

He has a postgraduate honours degree in computer science, specialising in information systems, and has over 35 years of experience analysing, designing, implementing and managing highly technical business solutions across a range of industries including banking and finance, media, telecommunications, health and medical, government and education.

Peter led the implementation of Macquarie University’s Research Data Repository, and Western Sydney University’s HIEv automated data capture system. During his time at Intersect Australia, Peter managed and refined  Intersect’s NCRIS-funded national research cloud computing and research data storage service, leading  a number of large-scale research computing migration projects for Intersect members. Peter specialises in providing research data management advice to human researchers.

Erik de Wit

Erik is NIF’s Senior Science Communicator, providing strategic advice and leading content development across media, digital channels and marketing collateral. He enjoys sharing stories of cutting-edge science, collaboration and translation which serve to highlight the benefit and impact of research infrastructure, particularly NIF facilities and capabilities. Erik has a background in journalism and corporate communications, with a focus on science, medical research and tertiary education.

Heath Pardoe

Heath Pardoe is an Associate Professor at the Florey Institute of Neuroscience and Mental Health, Stream Lead for Science and Operations Support in the Australian Epilepsy Project and Academic Lead for the Florey MRI facility. He holds honorary positions at New York University Grossman School of Medicine, Monash University and the University of Melbourne.

His primary research interest is computational analysis of neuroanatomical MRI with a focus on epilepsy. He develops and applies statistical methods, including artificial intelligence techniques, to large neuroimaging datasets to map subtle disease related brain changes. As part of these research goals he has developed methods for harmonization of multi-site imaging data and techniques for assessing and correcting for the effects of in-scanner head motion on neuroanatomical MRI scans. His research efforts have been supported by grant funding from the NH&MRC, the NIH and philanthropic organizations.

Dr Pardoe completed his PhD in 2005 at the University of Western Australia. He underwent postdoctoral training with Graeme Jackson at the Florey (2005-2012) and was an Associate Professor of Neurology at the Comprehensive Epilepsy Center at NYU Grossman School of Medicine (2012 – 2022).

Privacy Settings
Google Maps