Imran Razzak
Associate Professor, MBZUAI (Department of Computational Biology) • Personalized Medicine • Medical Imaging • Multimodal Clinical Reasoning
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Imran Razzak
Associate Professor, Computational Biology
Short biography
Imran Razzak is an Associate Professor at MBZUAI (Abu Dhabi, UAE). His research centers on Personalized Medicine and Medical Imaging, with emphasis on building multimodal AI systems that combine visual understanding, clinical reasoning, and spatial grounding to support decision-making in healthcare.
Medical AI at a glance
Illustrative medical visualization highlighting multimodal reasoning and spatial grounding.
Research Interests
My work focuses on Personalized Medicine and Medical Imaging, building models that unify multimodal understanding (vision + language), clinical reasoning, and spatial grounding across diverse imaging modalities. I’m especially interested in trustworthy medical AI (robustness, uncertainty, and hallucination reduction), longitudinal modeling, and end-to-end clinical workflows.
Open positions: Looking for Visiting Students and Remote Internships on medical VLM and reasoning.
PhD students and postdocs for Medical Foundation Models, VLMs for clinical reasoning, and personalized/longitudinal healthcare AI. Please email your CV + a short research proposal.
What’s new?
🚀 We released MedMO (4B & 8B), MedMO-8B-Next — a SOTA generalist medical AI foundation model
MedMO unifies multimodal understanding, clinical reasoning, and spatial grounding across diverse medical imaging modalities. Unlike task-specific systems, MedMO delivers end-to-end medical imaging intelligence within a single unified architecture.
🔍 Core capabilities
- Understanding & reasoning: VQA, text-based medical QA, diagnostic reasoning
- Report intelligence: Radiology report generation and summarization
- Spatial grounding: Disease localization with precise bounding boxes
- Cross-modality localization: Radiology, pathology, ophthalmology, microscopy
Resources
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[Aug, 2026] Eight Papers [ 4 main and 4 Findings] accepted in EMNLP.
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[July, 2026] Two Papers accepted in CIKM.
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[May, 2026] Eight Papers accepted in MICCAI.
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[May, 2026] Three Papers on Federated Learning accepted in ICML.
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[April, 2026] Two Papers on RAG accepted in ACL.
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[April, 2026] Paper on Oral Microbiome Associations with Metabolic Health accepted in Nature Communication.
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[April 2026] We are organizing Three workshops at MICCAI:
Mechanistic Interpretability for Medical Foundation Models
Agentic AI for Medicine and
SAFER.
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[March, 2026] 4 papers on Medical VLM reasoning and hallucinationaccepted in CVPR.
Contact Information
- Position: Associate Professor, Computational Biology
- Department: MBZUAI, Abu Dhabi
+971 2811 171-
imran.razzak 
{mbzuai.ac.ae}
Disclaimer
This is a personal website. The opinions expressed are mine and do not necessarily represent the views of my employer.
