R&D Leader; Academic & Industry Expertise
Applying a broad skillset to health innovation and technology development — bridging research excellence with commercial product delivery.
Unobtrusive Clinical Decision Support Tools — active research at Teesside University
Remote monitoring and AI clinical support for patients at home. Using wearable biosensors to continuously track physiological state, enabling proactive intervention without hospital admission.
Integrating multimodal physiological and contextual data — including symptom details, demographics, remote vitals and patient history — to output care navigation, urgency scoring and diagnosis support in live NHS settings.
Examining social and community integration measures as part of hip fracture recovery, moving beyond clinical outcomes to capture what matters most to patients during rehabilitation and return to daily life.
Investigating balance recovery mechanisms and interventions for people living with COPD. Using musculoskeletal simulation and wearable sensor data to characterise postural control deficits and identify effective therapeutic targets.