London, England, United Kingdom
I am a Plastic Surgery Registrar and PhD researcher at Imperial College London, working at the intersection of surgery, healthcare and artificial intelligence. My research focuses on developing clinically meaningful machine learning methods for complex perioperative and longitudinal health data. I am particularly interested in how physiological time series, temporal patterns and multimodal clinical data can be used to improve risk prediction, decision-making and patient outcomes. Before starting my PhD, I trained clinically in plastic, reconstructive and burns surgery and completed an NIHR Academic Clinical Fellowship. I have also undertaken research at Harvard Medical School and worked across projects spanning wound healing, skin biology, surgical innovation and clinical AI. My clinical background shapes how I approach machine learning, not simply as a technical exercise, but as a tool that must address a genuine clinical problem. Models must perform reliably in real-world settings and remain interpretable and useful to healthcare professionals. I enjoy working across clinical and technical disciplines and connecting with others interested in thoughtful, responsible and clinically meaningful healthcare innovation.
As part of AI4Health clinical PhD programme, Imperial College London.
Otolaryngology and Plastic Surgery Rotations.