Martin Ebert

Martin Ebert is an Adjunct Professor in the School of Physics, Maths and Computing at The University of Western Australia, affiliated with the UWA Data Institute. His expertise spans radiation therapy, radiotherapy optimization, and oncological imaging. He has led or co-led major grants totaling over $5M, including NHMRC projects focusing on pediatric brain cancer radiation safety, prostate cancer dosimetry, and glioma imaging. His research contributes to UN Sustainable Development Goals related to health and well-being (SDG 3).

Research interests include radiomics applications in PET/CT, tumor microenvironment modulation for immunotherapy, and clinical trial methodology. Key projects involve AI-driven segmentation for coronary artery imaging and FET-PET trials for high-grade glioma diagnosis.

Recent publications (2025) emphasize radiomics reproducibility, tumor hypoxia imaging correlations, and low-dose radiotherapy- immunotherapy combinations. He received the Fulbright Future Scholarship (2021), supporting research collaborations. Current active grants focus on prostate cancer prognosis via deep learning and glioblastoma imaging analysis using machine learning.

He collaborates widely in Australia and internationally, with active projects at the Peter MacCallum Cancer Centre and Charlies Foundation for Research. His work bridges experimental oncology with translational clinical applications, emphasizing personalized radiotherapy approaches.