Imran Razzak

Prior to joining MBZUAI, Professor Razzak was a Senior Lecturer in Human-Centered Machine Learning at the School of Computer Science and Engineering, University of New South Wales (UNSW), Sydney, Australia. Guided by the vision "AI for Early Detection, Smarter Decisions, and Better Outcomes," his research focuses on bridging the gap between language and vision to enhance the interpretation of healthcare data. Professor Razzak’s work leverages large-scale omics data to uncover hidden patterns, account for complex interactions, integrate heterogeneous datasets, and make precise predictions across various biomedical applications. His expertise spans cardiovascular imaging, retinal imaging, multi-omics biomarker discovery, and single-cell multi-omics. With a strong background in healthcare and machine learning, he has developed advanced methods for analysing and interpreting medical imaging modalities such as ultrasound, mammograms, CT scans, PET scans, MRI, and fMRI, all aimed at improving patient outcomes. Professor Razzak has successfully secured over $13 million in funding for more than 14 research projects and industrial partnerships. These include prestigious grants from the Australian Research Council (ARC), the National Health and Medical Research Council (NHMRC), the Next-Generation Graduate Program, CSIRO/Data61, and the NSW Government. Through his research and collaborative initiatives, he continues to make impactful contributions to healthcare, pushing the boundaries of AI for early diagnosis and personalized medicine.

PhD Analytics, Graduate Certificate in Higher Education