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Ren, LeiView profile

Professor

• Image-guided Radiation Therapy
• Artificial Intelligence in Radiotherapy
• Medical Imaging Physics
• +6 more

Lei Ren, PhD is a Professor and Associate Chief of Physics Research in the Department of Radiation Oncology at the University of Maryland School of Medicine. Previously, he held faculty positions at Duke University Medical Center from 2011-2021, progressing from Assistant Professor to Professor and Director of Physics Research. A clinical medical physicist certified by the American Board of Radiology (ABR), Dr. Ren leads a research program focused on advancing precision radiation therapy through innovative imaging and AI technologies. Dr. Ren's research centers on image-guided radiation therapy (IGRT) and AI applications in radiotherapy. His seminal contributions include developing digital tomosynthesis (DTS) for fast target localization, creating the limited-angle intrafraction verification (LIVE) system, and pioneering cone-beam CT (CBCT) scatter correction methods. Current work focuses on deep learning for deformable image registration, virtual MRI/CBCT generation, XMAN phantom development, and proton dose verification using prompt gamma imaging. His research integrates biomechanical modeling with AI to improve soft tissue contrast and motion management. His 15 most recent publications (2023-2025) reveal a strong trend toward clinical translation of AI in radiation oncology, with emphasis on interpretable AI for clinical decision making, radiomics for cancer prognostics, and novel imaging techniques for proton therapy verification. Approximately 70% of recent work involves deep learning applications, while 30% focuses on advanced imaging physics for motion management and dose verification. Award highlights include: Fellow of the American Association of Physicists in Medicine (AAPM), 2020 Thomas Gorrie Clinical Leadership Impact Award, Duke University, 2019 Top 5 team in AAPM Grand Challenge for 4D-CBCT reconstruction, 2018 Multiple Excellence in Research/Mentorship awards from Duke Medical Physics Program Distinguished Graduate Award from Tsinghua University, 2003 Dr. Ren actively mentors postdoctoral fellows and has secured substantial NIH funding as Principal Investigator for projects including 3D prompt gamma imaging (R01CA279013), XMAN phantoms (R01EB032680), and hybrid virtual-MRI/CBCT systems (R01EB028324). His lab collaborates with industry partners including Varian Medical Systems and ScandiDos AB on clinical implementation of imaging technologies. He serves on NIH study sections and as Deputy Editor for Medical Physics journal. His research group operates within the Radiation Oncology Department's imaging physics division, developing clinical tools for liver SBRT, proton therapy verification, and AI-driven treatment planning. Current projects include FLASH proton therapy dosimetry and virtual clinical trials using XMAN phantoms.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +5 more

Bo Wang is an active academic researcher primarily affiliated with multiple Chinese institutions, with strong connections to Tsinghua University, Beijing Jiaotong University, and other leading Chinese universities. His research spans artificial intelligence, machine learning, computer vision, medical image analysis, and intelligent control systems, demonstrating significant interdisciplinary work across computer science, engineering, and biomedical applications. Primary institutional affiliation: School of Computer Science and Technology at multiple Chinese universities Active research areas: AI/ML applications in healthcare, computer vision, federated learning, and intelligent control systems Extensive publication record across top-tier venues in multiple disciplines Wang's research interests focus on the intersection of artificial intelligence and practical applications. His work demonstrates strong expertise in developing novel machine learning architectures for medical image analysis, including applications in CT imaging, MRI, and sperm tracking. He has made significant contributions to federated learning approaches for large language models, sliding mode control systems, and molecular optimization frameworks. His research consistently bridges theoretical advances with practical implementations across healthcare, manufacturing, and environmental monitoring domains. Analysis of Wang's recent publications reveals a strong trend toward interdisciplinary AI applications, particularly in medical imaging and bioinformatics. His work on VAE-GANMDA for microbe-drug association prediction, ACE-QSM for accelerating MRI acquisition, and text-guided molecular optimization demonstrates innovative approaches at the intersection of AI and life sciences. Wang also maintains active research in industrial applications including digital twin technology for energy systems and robust scheduling approaches for multi-factory production. Notable research contributions include: FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method with Federated Learning VAE-GANMDA: Microbe-drug association prediction model ACE-QSM: Accelerating quantitative susceptibility mapping using diffusion models Digital twin-empowered power consumption prediction systems Wang actively collaborates with researchers across China and internationally, with publications spanning computer science, engineering, medical imaging, and environmental science journals. His work demonstrates strong technical depth across multiple AI methodologies while maintaining focus on practical applications that address real-world challenges in healthcare, manufacturing, and environmental monitoring.

Mai BuiView profile

Lecturer

• Computer Vision
• Medical Image Analysis
• Surgical Robotics
• +5 more

Dr. Mai Bui is a Lecturer at the Deutsches Herzzentrum München (German Heart Center Munich), affiliated with the Chair of Computer Science Applications in Medicine under Prof. Nassir Navab. Her research focuses on integrating advanced computer vision and deep learning techniques into medical applications, particularly in surgical robotics, image-guided interventions, and medical augmented reality. She has contributed to critical areas like catheter tracking, pose estimation, and real-time medical imaging analysis. Dr. Bui teaches multiple courses including Computer Aided Medical Procedures , Medical Augmented Reality , and Introduction to Surgical Robotics . Her work emphasizes low-dose imaging solutions and robust navigation systems for minimally invasive procedures. She collaborates with interdisciplinary teams at labs such as DHM, IFL Lab, and NARVIS Lab to advance translational research in medical AI. Her recent publications highlight innovations in adversarial networks for pose refinement, lightweight camera localization systems, and multimodal inference in ambiguous medical scenes. These contributions address core challenges in surgical navigation and medical device tracking.

• Tuberculosis
• Respiratory Medicine
• Epidemiology
• +3 more

Dr. Vernon Hoeppner serves as Professor in the Division of Respirology, Critical Care and Sleep Medicine at the University of Saskatchewan, where he pioneered North America's first Directly Observed Therapy (DOT) program for tuberculosis treatment. His career spans clinical practice, provincial TB program leadership, and research focused on health equity among Indigenous populations in Saskatchewan and the Canadian prairies, emphasizing that "therapy is only as good as relationships and trust with patients and communities." His research interests center on Tuberculosis epidemiology , Respiratory medicine , and Health disparities , with particular focus on Indigenous health outcomes, treatment adherence, and social determinants of disease. Hoeppner's work integrates clinical practice with public health strategy, examining TB transmission dynamics, cost-effectiveness of interventions, and genomic epidemiology of Mycobacterium tuberculosis strains. Analysis of his 2014-2025 publications reveals evolving research trajectories: early work concentrated on TB transmission in Indigenous communities and treatment protocols, while recent studies expanded into genomic epidemiology (2024), health economics of latent TB treatment (2020), and climate-disease interactions in pandemic modeling (2025). His scholarship consistently addresses health inequities through both quantitative epidemiological methods and qualitative patient-centered approaches.

• Medical Imaging
• Cancer Therapeutics
• MRI Technology Development
• +4 more

Dr. David Waddington is an NHMRC Emerging Leadership Fellow at the Image X Institute within the Faculty of Medicine and Health at the University of Sydney. He is a member of the University of Sydney Nano Institute and collaborates internationally with institutions like the Martinos Center for Biomedical Imaging at Massachusetts General Hospital. His work focuses on advancing MRI-based imaging technologies for cancer treatment guidance and developing nanoparticle probes for targeted drug delivery. Education: David holds a PhD in Science from the University of Sydney (2018) and earned a University Medal in Physics from UNSW (2010). He was a recipient of a prestigious Postgraduate Fulbright Scholarship (2013–2014) at Harvard University. Research Interests: His projects include the Australian MRI-Linac initiative to improve radiation therapy accuracy through real-time tumor tracking and distortion correction, as well as innovations in low-cost MRI systems and AI-driven image reconstruction. He explores hyperpolarized nanodiamonds for enhanced MRI contrast and synthesizes nanoparticles to improve diagnostic imaging precision in cancer treatment. Key projects: Australian MRI-Linac, MANGO Study, Low-Cost MRI Development International collaborations: Martinos Center (Massachusetts General Hospital) Awards : His achievements include two Best in Physics awards at AAPM (2020, 2022), Summa Cum Laude awards at ISMRM (2016, 2020), and grants such as the FMH Rewarding Research Success (2022) and SEMCAN Viral Bytes Prize (2020). Grants & Students : Leads grants like the 'AI Platform for Targeted Radiotherapy' and 'Advancing Dynamic MRI'. Advises James on developing deep learning techniques for adaptive MRI-guided radiotherapy. His work has produced two patent applications and TEDx talks on medical innovation. Labs/Teams : Affiliated with the ACRF Image X Institute and collaborates with interdisciplinary teams in radiation oncology and biomedical engineering.

Xiaorong LiuView profile

Associate Professor

• Retinal Development
• Glaucoma Pathology
• Neuroprotection Strategies
• +3 more

Xiaorong Liu is an Associate Professor in the Departments of Biology and Psychology at the University of Virginia (UVA). She holds tenured status and leads the Xiaorong Liu Lab, focusing on retinal neurobiology and glaucoma research. Her academic journey includes a B.S. from Peking University (1996), a Ph.D. from the University of Virginia (2002), and postdoctoral training at The Scripps Research Institute and the University of California San Francisco (2002–2007). Her research explores retinal ganglion cell (RGC) development, degeneration in glaucoma, and neuroprotection strategies. Key techniques include mouse models of glaucoma, visible-light optical coherence tomography (vis-OCT), and in vivo imaging. Her lab’s innovations in vis-OCT fibergraphy enable non-invasive monitoring of RGC axon bundles and early glaucoma detection. Collaborations span ophthalmology, neuroscience, and engineering. Recent work emphasizes translational applications, such as drug delivery systems for glaucoma therapy and cross-species retinal comparisons (tree shrews, mice, humans). Funding includes grants from the Glaucoma Research Foundation, NIH, and Knights Templar Eye Foundation. Liu advises students and postdocs, fostering a collaborative environment to bridge basic science and clinical outcomes.

Rachel L GunnView profile

Associate Professor

• Alcohol Use
• Cannabis Use
• Co-Use of Alcohol and Marijuana
• +4 more

Rachel L Gunn is an Associate Professor holding dual appointments in the Department of Behavioral and Social Sciences (Primary) and Psychiatry and Human Behavior (Secondary) at Brown University. She holds a PhD in Clinical Psychology from Indiana University-Bloomington (2017) and completed clinical training at Brown's Alpert Medical School. Her research focuses on understanding the etiology of alcohol and cannabis use through mixed-method approaches, including laboratory experiments and ambulatory assessments. Current projects investigate simultaneous alcohol/cannabis use impacts, cannabis effects on alcohol treatment outcomes, and perinatal cannabis use mental health consequences. Dr. Gunn's NIH-funded research includes a K08 grant (2019-2024) examining alcohol/cannabis co-use consequences, an R01 (2023-2028) studying cannabis effects on alcohol craving, and a COBRE Pilot Award (2023-2024) exploring perinatal cannabis and postpartum mental health. She collaborates with experts like Jane Metrik, Nancy Barnett, and Lauren Micalizzi on topics spanning substance use patterns, impulsivity, and executive function. Her work integrates behavioral pharmacology, ecological momentary assessment, and longitudinal designs to address real-world substance use dynamics. Notable contributions include demonstrating cannabis's moderating effect on alcohol consumption in clinical settings and clarifying co-use consequences in college populations.

• Physical Activity
• Meta-Analysis
• Systematic Review
• +7 more

Borja del Pozo Cruz serves as an Adjunct Associate Professor in the Department of Sports Science and Clinical Biomechanics at the University of Southern Denmark's Faculty of Health Sciences. He is affiliated with the Research Unit of Muscle Physiology and Biomechanics and maintains an active research profile with 83 research outputs documented. His ORCID profile is available at https://orcid.org/0000-0003-3944-2212 . Dr. del Pozo Cruz specializes in physical activity research with particular expertise in accelerometer-based measurements, systematic reviews, and meta-analyses. His research fingerprint reveals significant contributions to Physical Activity (100%), Meta-Analysis (49%), Systematic Review (47%), Accelerometer applications (35%), Longitudinal Analysis (29%), Cardiovascular Disease research (28%), Biobank studies (23%), and UK Biobank investigations (21%). His work demonstrates strong international collaboration, with research spanning multiple countries and continents. His recent publications (2025) reveal a consistent focus on evidence-based analysis of movement behaviors, cardiovascular health, and screen time effects on children. These works appear in high-impact journals including Circulation , British Journal of Sports Medicine , and Psychological Bulletin , demonstrating the significant reach and influence of his research. His studies frequently employ meta-analytical approaches to synthesize evidence across multiple investigations. Dr. del Pozo Cruz has received notable media attention for his research, particularly regarding screen time effects on children. His systematic review analyzing 681 studies on children's screen use was picked up by over 160 news outlets, blogged about by 13 sources, and shared across social media platforms by numerous users. This work challenged prevailing notions about screen time 'hysteria,' finding only small benefits and drawbacks associated with children's screen use. His research has generated substantial academic engagement, with multiple publications accumulating significant reader metrics on platforms like Mendeley and receiving attention across various social media channels including X (formerly Twitter), Facebook, and Bluesky. His work on screen time effects alone was referenced by policy sources, demonstrating real-world impact beyond academic circles.

• Vaccine Development
• Bacterial Pathogenesis
• Microbiology
• +4 more

Dr. Sharon M. Tennant serves as Adjunct Professor in the Department of Microbiology and Immunology at the University of Maryland School of Medicine, where she heads the Clinical Microbiology and Molecular Diagnostics Section at the Center for Vaccine Development and Global Health (CVD). Her leadership spans global clinical trials and field studies across Africa, Asia, and South America, with primary focus on non-typhoidal Salmonella (NTS) pathogenesis and vaccine development. Her academic foundation includes a B.A./B.Sc. in French/Psychology/Genetics/Microbiology (1999) and Ph.D. in Microbiology (2005) from the University of Melbourne, followed by postdoctoral training at UMSOM's CVD through a J.N. Peters Bequest Fellowship (2005-2007), Academic Fellowship (2007-2008), and Postdoctoral Fellowship (2008-2010). Dr. Tennant's research integrates four pillars: bacterial pathogenesis of invasive NTS strains like African ST313 variants; vaccine development of live attenuated and flagellin-conjugate vaccines against NTS, Klebsiella pneumoniae , and Pseudomonas aeruginosa ; diagnostic assay innovation for culture-independent Salmonella detection; and global health contributions through landmark studies like VIDA and EFGH that define diarrheal disease etiology in resource-limited settings. Her publication record reveals sustained focus on NTS vaccine mechanisms, with recent expansion to nosocomial pathogens. Key innovations include flagellin-secreting vaccine platforms now in Phase 2 trials, age-stratified immunogenicity studies, and tolerability-optimized strains that balance inflammatory responses. This work bridges preclinical development through FDA regulatory pathways. Recognition includes: J.N. Peters Bequest Research Fellowship (University of Melbourne) Academic Fellowship at UMSOM CVD Postdoctoral Fellowship at UMSOM CVD As Principal Investigator and co-investigator on multiple diagnostic studies, she has compiled FDA Investigational New Drug applications and directs grant-funded research within the EFGH consortium. Her laboratory provides critical microbiology oversight for multicenter trials evaluating shigellosis incidence across seven global sites. The CVD laboratory under her direction maintains comprehensive microbiology and molecular biology capabilities including biosafety cabinets, real-time PCR systems, electroporators, and gel electrophoresis platforms, supporting vaccine engineering from genetic modification through preclinical evaluation.

Yixiang LiaoView profile

Associate Professor

• Medical Physics
• Radiation Oncology
• Brachytherapy
• +3 more

Yixiang Liao, PhD is an Associate Professor in the Department of Radiation Oncology at Rush Medical College, Rush University. As Director of the Medical Physics Residency Program, they focus on advancing radiation therapy techniques and training future medical physicists. Academic Rank: Associate Professor Institution: Rush University Department: Radiation Oncology Research spans three key areas: Brachytherapy (HDR techniques, applicator design), Medical Imaging (portal dosimetry, thermal imaging for skin reactions), and 3D Printing Applications (immobilization devices, vaginal HDR templates). Their work integrates Artificial Intelligence for segmentation modules and explores hypofractionation protocols in multidisciplinary debates. Key article trends include: Development of ergonomic brachytherapy applicators Advancements in 3D-printed patient-specific immobilization Validation of AI-driven segmentation tools Dosimetric robustness studies for radiation plans Interdisciplinary focus on optimizing cancer treatment protocols Scientific recognition includes the 2016 BEST IN PHYSICS (JOINT IMAGING-THERAPY) award for real-time tumor tracking innovations. Their career demonstrates sustained leadership in medical physics education and radiation therapy optimization.

Niranjan VenugopalView profile

Adjunct Professor

• Medical Imaging
• Radiation Oncology
• Image Processing
• +4 more

Niranjan Venugopal is an Adjunct Professor in the Department of Physics and Astronomy at the University of Manitoba's Faculty of Science. He holds affiliations with CancerCare Manitoba, focusing on advanced imaging techniques for radiation treatment planning. Contact: Niranjan.Venugopal@umanitoba.ca , nvenugopal@cancercare.mb.ca . Academic Rank: Adjunct Professor Institution: University of Manitoba Department: Physics and Astronomy Affiliation: CancerCare Manitoba Research Interests: Development and application of advanced MRI, MRSI, and PET-CT techniques for radiation oncology. Key areas include: MRI Pulse Sequence Design MR Spectroscopic Imaging Quantum Mechanical Simulations of Metabolites MR Elastography Deep Learning for Image Segmentation Image Registration and Processing Recent trends in his publications (2025-2020) emphasize AI-driven radiotherapy workflows, synthetic CT generation, and precision targeting in lung/brain/prostate cancers using SBRT and HDR brachytherapy.

• Medical Imaging
• Medical Physics
• Cancer Research
• +3 more

Dr. Tess Reynolds is Deputy Director and Thoracic Theme Lead at the Image X Institute, University of Sydney. She holds the Cancer Institute of NSW Early Career Fellowship and is a Robinson Fellow. Her expertise lies in medical imaging physics, particularly in advancing interventional Cone Beam CT (CBCT) technologies for complex surgical scenarios. She leads projects like ACROBEAT and RMG-4DCBCT, focusing on cardiac and respiratory motion management, and collaborates internationally with institutions like Johns Hopkins University. Reynolds completed her PhD at the University of Adelaide (2017) and has pioneered industry partnerships with Siemens Healthcare. Her research emphasizes reducing radiation exposure and improving imaging accuracy in oncology, cardiology, and orthopedics. She has secured grants totaling over $6M, including NHMRC Development and Synergy Grants for lung ventilation imaging and cardiac radiation protection. She has been awarded the 2022 Eureka Prize for Outstanding Early Career Researcher and the 2021 Jack Fowler Award (AAPM). Her work spans over 50 peer-reviewed articles, with recent breakthroughs in adaptive imaging protocols and non-circular CBCT orbits for metal artifact reduction. Reynolds also contributes to clinical translation through open-source tools like SpyGRT for radiotherapy guidance. Awards: Eureka Prize, AAPM Recognition, NHMRC Grants Key Projects: ACROBEAT, RMG-4DCBCT, CARE-CT Labs/Teams: Image X Institute, Sydney School of Health Sciences International Collaborations: Johns Hopkins University, University of Pennsylvania

Melissa CushingView profile

Clinical Professor

• Transfusion Medicine
• Laboratory Medicine
• Hematology
• +3 more

Melissa Cushing, M.D., is a Clinical Professor in the Department of Pathology and Laboratory Medicine at Weill Cornell Medical College. She serves as Executive Vice Chair for Clinical Affairs, Medical Director of Clinical Laboratories, and Division Director of Transfusion Medicine and Cellular Therapy at Weill Cornell Medical College and NewYork-Presbyterian Hospital. M.D. from Georgetown University School of Medicine (2001) Clinical Pathology Residency at Emory University School of Medicine (2005) Fellowship in Transfusion Medicine and Cellular Therapy at Johns Hopkins School of Medicine (2006) Her research focuses on transfusion medicine, coagulation management, and laboratory medicine with particular emphasis on COVID-19 diagnostics , pathogen-reduced blood products , and perioperative hemostasis . Recent publications examine SARS-CoV-2 testing strategies, fibrinogen replacement therapies, and blood product inventory systems. Her work bridges clinical pathology with anesthesiology through cross-departmental collaborations. Dr. Cushing holds dual board certifications in Clinical Pathology and Blood Banking/Transfusion Medicine from the American Board of Pathology. She actively collaborates with industry partners including: Ceruus Corporation (Scientific Advisory Board) CSL Behring & Octapharma (Consultancy roles) Grifols & Werfen (Research Partnerships) Her 15 most recent articles (2023-2025) demonstrate expertise in transfusion safety , coagulopathy management , and innovative blood product applications across specialties including anesthesiology, critical care, and infectious diseases.

• Sport and Exercise Physiology
• Environmental physiology
• Dietary supplements for health and performance
• +4 more

Mark Waldron is an Associate Professor in Sport and Exercise Sciences at Swansea University's Faculty of Science and Engineering, where he also serves as the Performance Physiology leader of the Welsh Institute of Performance Science. Additionally, he holds a position as a Senior Research Fellow at the University of New England, Australia. His career includes previous roles as a Senior Physiologist at the Defense Technology and Science Laboratory (DSTL) and as a Sports Scientist with professional Rugby League. Dr. Waldron's research primarily focuses on Sport and Exercise Physiology, Environmental physiology, Dietary supplements for health and performance, and Coaching and monitoring team sports. His work examines physiological adaptations to extreme environments, particularly heat, and investigates how nutritional interventions can enhance athletic performance and recovery. He has made significant contributions to understanding the effects of menthol, taurine, and other supplements on thermoregulation and exercise capacity. His extensive publication record demonstrates a strong emphasis on methodologically rigorous approaches, including meta-analyses and controlled experimental designs. Recent work shows particular interest in applying advanced data analytics to sports performance, with specific applications in rugby, soccer, and cycling. His research bridges laboratory findings with practical applications for elite athletes and sports organizations worldwide. As an active supervisor, Dr. Waldron oversees numerous PhD and MSc students working on projects related to nutritional strategies for rugby recovery, youth athlete development, power-time relationships in exercise, and advanced data analytics applications in professional sports. He frequently collaborates with elite sports clubs and organizations globally, translating research findings into practical performance enhancements.

• Medical Physics
• Radiation Therapy
• MRI-based Treatment Planning
• +3 more

Peter Greer is a Conjoint Professor in the School of Information and Physical Sciences at the University of Newcastle, where he leads a medical physics research group. He holds a dual appointment at the Calvary Mater Newcastle Hospital, where he conducts clinical research in radiation oncology physics. His work bridges physics, medicine, and information technology to improve cancer treatment through advanced radiation therapy techniques. Greer earned his PhD in medical physics from the University of Adelaide in 2001. His educational background in medical physics provided the foundation for his career in radiation therapy research and development. Peter Greer's research focuses on improving radiation therapy for cancer patients through several key areas. He is a recognized world leader in radiation dosimetry with flat-panel imaging devices and has pioneered MRI-based treatment planning techniques. His team developed the first atlas-based deformable image registration method to map realistic electron densities to MRI scans for dose calculations, potentially eliminating the need for CT scans in prostate radiation therapy planning. He also leads research on real-time verification systems like Watchdog, which monitors radiation delivery during treatment to ensure accuracy and patient safety. His work on remote auditing through VESPA (Virtual EPID Standard Phantom Audit) has revolutionized how multicenter clinical trials maintain treatment uniformity without requiring physicists to travel to remote sites. An analysis of Greer's recent publications reveals a strong focus on medical physics innovation, particularly in MRI-based treatment planning, EPID dosimetry, and quality assurance methodologies. His work spans from fundamental technical developments to clinical implementation, with increasing emphasis on artificial intelligence applications for image synthesis and treatment verification. The research shows progression from single-center studies to large multicenter clinical trials, demonstrating translation of research into clinical practice. Greer has received numerous scientific awards recognizing his contributions to medical physics, including: Fellowship of the Australasian College of Physical Scientists and Engineers in Medicine (2014) Early Career Researcher of the Year from the Hunter Medical Research Institute (2010) 3D Segmentation Challenge for Clinical Applications from the MICCAI Society (2009) Best presentation in Radiation therapy from Varian Medical Systems, Inc. (2007) Greer has supervised numerous research students and has secured significant research funding, including grants from The American Society for Radiation Oncology (ASTRO) and the National Health and Medical Research Council (NHMRC). His work has led to several research outcomes being developed into commercial products for radiation oncology. He has twice served as Scientific Director for major international conferences in radiotherapy treatment imaging and has been an invited speaker at numerous national and international conferences. Greer leads a research group based at the Calvary Mater Newcastle Hospital that collaborates with multiple institutions including CSIRO Biomedical Imaging Research Group, CancerCare Manitoba, and the University of Sydney. His team works on cutting-edge projects such as MRI-only treatment planning, real-time dose verification systems, and remote auditing methodologies that are transforming radiation oncology practice worldwide.