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Zhangshu Joshua Jiang

Cohort:

2025

Project

Towards Trustable Healthcare Generative AI Models

Co-funding Partner

Cleveland Clinic

Supervisors

Zina Ibrahim

James Teo

Biography

Zhangshu Joshua Jiang is a part-time PhD student at King’s College London and a medical doctor at Cleveland Clinic London, with a background in NHS clinical practice. His journey bridges clinical medicine and AI, driven by a passion for harnessing data to improve healthcare. His research focuses on developing robust machine learning tools for medical data, with a particular interest in clinical NLP, data standardisation, and building scalable AI infrastructure for federated analytics. He has significant hands-on experience designing healthcare data pipelines, managing clinical and synthetic data sources, and applying advanced neural network methods, including transformer models and foundation models, to real-world clinical problems. Alongside research, he is committed to cross-disciplinary collaboration, leveraging both clinical expertise and technical skills to translate academic findings into healthcare delivery. His aspiration is to foster impactful, ethical innovation at the intersection of medicine and technology.

Research interests

Medical AI and machine learning, Healthcare data standards/Electronic Health Record, Large language models and neural networks for clinical applications, Digital health and translational research

Hobbies and Interests

“Cycling through London’s traffic is my daily dose of adventure. When not plotting new routes, I’m likely hiking, camping under questionable British skies, getting lost in art galleries or museums, or exploring other countries off the beaten track. I love a spirited debate on geopolitics or philosophy, especially if fueled by good coffee, food, and better questions. Forever curious about cheap eats and new food adventures.”