Zeena Shawa is an Associate Imaging Scientist at IXICO with five years' experience at the intersection of medical imaging, machine learning, and neuroimaging research. She completed a PhD in Medical Imaging at UCL’s CMIC and has applied ML to neonatal brain data and clinical imaging problems during roles at UCL, King's College London and The Alan Turing Institute. Her work blends algorithm development, data-driven biomarkers, and translational projects—most recently supporting innovation placements within an NHS trust and industry-focused imaging pipelines. Comfortable in both academic and industrial settings, she has experience mentoring and teaching as a UCL graduate teaching assistant and impact fellow. Colleagues describe her as curious and pragmatic, able to move models from prototype toward clinical relevance. Based in London, she brings a rare combination of hands-on coding, experimental lab experience, and clinical-awareness to neuroimaging challenges.
5 years of coding experience
1 year of employment as a software developer
Bachelor of Medicine Bachelor of Surgery - MBBS Medicine, Bachelor of Medicine Bachelor of Surgery - MBBS Medicine at Queen's University Belfast
American High Schoiol Diploma; International Baccalaureate (IB), American High Schoiol Diploma; International Baccalaureate (IB) at American Community Schools of Athens
Biomedical Engineering (BEng) Bioengineering and Biomedical Engineering, Biomedical Engineering (BEng) Bioengineering and Biomedical Engineering at King's College London
Python package for generating diffusion MR signals from microstructural models.
Contributions:3 pushes in 1 day
diffusionpythonpython-packagesignals
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