KAMAL Health — Knowledge-Augmented Multi-Modal Arabic LLMs for Healthcare
Lead/Coordinator. 1.5M AED Dubai Future Foundation award (2025–). Building bilingual (Arabic/English), knowledge-augmented medical LLMs.
From Molecules to Meaning: Agentic AI for Health
Dr. Robail Yasrab is a Senior Researcher at the MRC Biostatistics Unit, University of Cambridge and a Visiting Researcher at Oxford’s Institute of Biomedical Engineering. He develops agentic AI and biomedical foundation models that fuse multi-omics, genomics, clinical text, and imaging into explainable decision support and deployable diagnostics.
Agentic AI
Biomedical FMs
Multi-omics
Clinical NLP
Medical Imaging
Explainability
Grants & Programmes
Wellcome Leap — In Utero (2023–)
Contributing to scalable measurement and modelling in pregnancy.
Key Projects
PULSE
ERC-funded programme modelling expert sonographer behaviour using ultrasound, eye-tracking, and probe-motion data to power next-gen assistive interpretation.
RootNav 2.0
Co-created deep-learning tool for plant phenotyping; open-source and widely used.
Resume
Experience
Senior Researcher · MRC Biostatistics Unit, University of Cambridge
Visiting Researcher · Institute of Biomedical Engineering, University of Oxford
Postdoctoral Research Assistant · Biomedical Image Analysis Group, University of Oxford
Research Fellow · Computer Vision Lab, University of Nottingham
Postdoctoral Researcher · USTC
Education & Training
University of Oxford, UK
USTC, China
Gothenburg, Sweden
Selected Publications & Open-source
Also published in Medical Image Analysis, ECCV/ISBI. Teaching: Medical Image Processing, Signals & Systems/DSP, Embedded ML, AI for Biomedical Systems.