فريقنا
The researchers behind DAQIQ, and the graduates and alumni who trained with us and now work across Qatar and beyond.
Program lead
Associate Professor, College of Science and Engineering, Hamad Bin Khalifa University
Dr. Zubair Shah leads DAQIQ. He works on artificial intelligence for health, including large language and foundation models, multimodal AI that combines imaging, health records and omics data, and precision medicine for diabetes.
Postdoctoral researchers and research staff working across DAQIQ projects.
Postdoctoral Researcher · 2024–present
Knowledge graphs and knowledge-graph embeddings for diabetes care
Research Assistant · 2026–present
Longitudinal multimodal AI for early prediction of type 2 diabetes and its complications
Doctoral researchers in Computer Science at HBKU’s College of Science and Engineering.
PhD Student, Computer Science · 2024–present
Pruning and compressing large AI models for use in health
PhD Student, Computer Science · 2025–present
Physics-informed neural networks for diabetes
Dr. Sulaiman Khan completed a PhD with DAQIQ and remains on the team. Here is where our former members work now.
PhD graduate, 2024
Multimodal deep learning for diabetes risk prediction and diabetic retinopathy grading
NowPostdoctoral Researcher, College of Science and Engineering, HBKU
PhD graduate, 2023
Natural language processing and AI for health
NowPostdoctoral Researcher, College of Humanities and Social Sciences, HBKU
Postdoctoral Researcher · 2021–2024
Medical imaging, generative models and multimodal AI
NowLecturer in Artificial Intelligence and Data Science, University of Stirling, UK
Postdoctoral Researcher · 2023–2025
Knowledge-graph embeddings and AI for the Internet of Medical Things
NowAssistant Professor in Cybersecurity, Muscat University, Oman
Clinicians and researchers we work with in Qatar and abroad.
Clinical and academic collaborators: name, title, institution and country (for example HMC, PHCC, Qatar Biobank, partner universities)
Join us
We welcome PhD applicants, master’s students, postdoctoral researchers and visiting scholars who want to improve life with diabetes through data and AI.
