Imran Razzak

Associate Professor, MBZUAI (Department of Computational Biology) • Personalized Medicine • Medical Imaging • Multimodal Clinical Reasoning

Abu Dhabi, UAE Personalized Medicine Medical Imaging AI Clinical Reasoning & Spatial Grounding Foundation Models
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Imran Razzak photo

Imran Razzak

Associate Professor, Computational Biology
MBZUAI, Abu Dhabi, UAE
Focus: Personalized Medicine • Medical Imaging • Multimodal Clinical AI
Editorial: Associate Editor — IEEE TNNLS, Neural Networks, IEEE TCSS, IEEE JBHI

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.

Illustrative medical visualization (decorative) multimodal • reasoning • spatial grounding
Personalized health Clinical reasoning Spatial grounding Personalized Medicine • Medical Imaging • Multimodal Understanding
CT • Chest
Findings → localization → summary
MRI • Brain
Reasoning + report generation
Pathology • Slide
Cross-modality grounding
Ophthalmology • Fundus
VQA + diagnosis support

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) — a generalist medical AI foundation model

MedMO (4B & 8B) 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

📄 Paper 💻 Project Page 🤗 Hugging Face 💾 GitHub

Contact Information

  • Position: Associate Professor, Computational Biology
  • Department: MBZUAI, Abu Dhabi
  • phone +971 2811 171
  • email imran.razzak at {mbzuai.ac.ae}

Disclaimer

This is a personal website. The opinions expressed are mine and do not necessarily represent the views of my employer.

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