Projects
ADVANTAGE: Visceral Pain Research
As part of the ADVANTAGE consortium, this project focuses on understanding and addressing visceral pain, a complex and debilitating condition associated with various diseases. Collaborating with clinicians, engineers, and scientists across the Departments of Medicine and Engineering at the University of Cambridge, I work on developing innovative bioelectronic solutions to study and treat visceral pain.
The project explores advanced wearable and implantable devices that integrate seamlessly with the body to monitor physiological signals and deliver targeted interventions. By leveraging cutting-edge bioelectronic sensors and low-power electronics, the aim is to improve our understanding of the neural mechanisms underlying visceral pain and pave the way for personalized treatments. This research highlights the transformative potential of engineering in healthcare, offering hope to patients suffering from chronic pain.
Multimodal Electrochemical Sensing
This project focuses on creating a wearable device that uses organic electrochemical transistors (OECTs) to measure critical biomarkers such as glucose, lactate, and ions from sweat. Designed for non-invasive monitoring, the device integrates advanced electrochemical sensors with microfluidic channels to collect and analyze sweat samples efficiently. By leveraging low-power electronics, the system processes data in real-time and transmits it wirelessly to a smartphone or cloud platform, providing actionable insights into metabolic health, hydration, and fitness.
The device is tailored for a range of applications, including chronic disease management, where it enables continuous glucose monitoring for diabetes care and tracks electrolyte imbalances linked to metabolic disorders or dehydration. In fitness and sports, it supports athletes by offering data on hydration and energy metabolism to optimize performance and recovery. With its potential to transform clinical research and personal health monitoring, this project exemplifies the role of OECT-based wearables in advancing personalized and accessible healthcare solutions.
Cardiovascular Monitoring
This project focuses on the development of a wearable platform for real-time cardiovascular monitoring. The system combines dry biopotential electrodes with advanced electronics to measure and analyze physiological signals like electrocardiograms (ECG) and photoplethysmograms (PPG). A key feature of this platform is its ability to estimate blood pressure wirelessly and cufflessly, addressing the need for continuous and non-invasive cardiovascular health monitoring.
The device is designed to adhere comfortably to the chest, utilizing tailored materials to achieve high sensitivity and reliability. Data collected by the wearable is transmitted to a smartphone application, where machine learning algorithms process the information to provide insights into cardiac health. This system represents a significant step toward personalized healthcare, offering a practical tool for clinical trials, patient monitoring, and early detection of cardiovascular diseases.
Let's build something together
My research interests include wearable and implantable medical devices, organic electrochemical transistors (OECTs), multimodal sensing and data fusion, AI and machine learning for healthcare, low-power electronics and wireless systems, translational biomedical research, advanced materials for sensors, clinical applications of wearables, cardiovascular monitoring, and soft robotics.
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