Dr Shibo Jing

Shibo is an Applied Machine Learning Engineer at iiCON, where his work focuses on applying machine learning to the detection, monitoring, and prevention of infectious diseases. His current research includes developing signal-processing and machine learning pipelines for wearable microwave sensing, as well as embedded diagnostic approaches for sensor-based health monitoring.

With a PhD in Biomedical Engineering from Imperial College London, Shibo has a strong scientific background in multimodal wearable sensing, real-time signal processing, predictive modelling, and embedded inference. His expertise spans the full research workflow, from experimental design and sensor-data acquisition to statistical signal processing, ML/DL-based predictive modelling, embedded deployment, and scientific communication.

Shibo is particularly interested in translational health technologies that bridge biomedical engineering, artificial intelligence, and diagnostic research. Through this work, he aims to support the development of scalable tools for health monitoring, disease diagnostics, and public-health surveillance.

Contact: Shibo.Jing@lstmed.ac.uk