Dr. Mamunur Rahaman is a computational pathology researcher focused on multimodal medical AI for robust, clinically meaningful diagnosis, prognosis, and treatment stratification. He completed his PhD in Computer Science and Engineering at UNSW Sydney (January 2026; supervisors: Erik Meijering, Anant Madabhushi, and Ewan Millar), where his work integrates histopathology with radiology, molecular/clinical data, spatial transcriptomics, and vision–language models. He has 40+ peer-reviewed journal and conference publications (h-index 23; 3,500+ citations), including four ESI Highly Cited Papers and a Scientific Reports paper ranked among the top 100 cancer research papers of 2023. He was a Visiting Fellow at Georgia Tech and Emory University (Dec 2024–Apr 2025) with the Madabhushi group and a Visiting Researcher at the Technical University of Munich (Oct 2025), delivering a seminar on multimodal pathology AI. He has also served as a Postdoctoral Writing Fellow at UNSW (Nov 2025–Jan 2026). Dr. Rahaman contributes to the community through editorial roles (Frontiers in Oncology—Breast Cancer; AI Medicine) and peer review across leading journals in medical imaging and AI.