Summary
Mobarak Hoque is an Associate Professor of Biomedical Data Science and AI at the University of Manchester with eight years of research and industry experience building robust, multimodal medical AI systems. He has led projects spanning foundation clinical LLMs, visual-linguistic models for diagnosis, and AR-assisted neurosurgical systems through roles at UCL, Imperial College London, and UCLH. His PhD from the National University of Singapore underpins a strong focus on safe, reliable, and spatiotemporal image-guided diagnosis and intervention, and he began his career developing ML-enabled mobile and embedded software at Samsung R&D. Mobarak bridges academic rigor and translational impact, moving models from foundational research toward surgical and clinical adoption. He is known for combining deep technical expertise in multimodal learning with practical system-building for real-world healthcare workflows.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Electronics and Communications Engineering, Bachelor of Science (B.S.) Electrical Electronics and Communications Engineering at Khulna University of Engineering and Technology
Doctor of Philosophy (Ph.D.) Image-Guided Diagnosis and Intervention Healthcare AI Surgical Data Science, Doctor of Philosophy (Ph.D.) Image-Guided Diagnosis and Intervention Healthcare AI Surgical Data Science at National University of Singapore
English, Bengali