Research
I offer organisations scientific expertise that transforms complex data into meaningful insights, supporting the development of innovative, safe, and effective medical technologies.
Diabetes and Non-Invasive Diagnostics
My research in diabetes focuses on the development of non-invasive screening technologies, with particular expertise in the use of near-infrared (NIR) spectroscopy and chemometrics. At Glyconics Limited, I have designed and validated predictive models for the early identification of diabetes mellitus risk, integrating biostatistics and advanced data analytics to improve accuracy. I have also contributed to the development of device testing protocols, quality control systems, and sample assessment frameworks, ensuring reliable and reproducible results. My work bridges fundamental science with practical applications, supporting the creation of accessible and patient-friendly screening tools that can improve early detection and monitoring of metabolic disorders.
Check out the related publicationsOncology and Spectroscopic Analysis
My PhD research at the University of Sheffield centred on spectroscopic analysis of biochemical changes in triple-negative breast cancer. Using vibrational spectroscopy, I investigated tumour tissue microarrays, identifying spectral biomarkers associated with disease progression. This research provided new insights into the molecular signatures of breast cancer and demonstrated the potential of spectroscopy as a complementary diagnostic tool in oncology. Building on this foundation, I have continued to explore the integration of molecular diagnostics with engineering approaches to improve disease detection, with an emphasis on translational impact. My oncology research reflects a commitment to advancing technologies that allow for earlier, more precise, cancer diagnostics.
Check out the related publicationsSpine Biomechanics and In Vitro Modelling
As a Postdoctoral Research Associate at the University of Exeter, along Professor Tim Holsgrove I led the development of a multi-axis bioreactor designed to simulate spinal movement under physiological conditions. This work involved designing a biomechanical spine simulator, control systems, and cell viability protocols, enabling the study of mechanical loading on spinal tissues and devices. The project provided a platform for testing implants, biomaterials, and therapeutic interventions in a controlled in vitro environment, bridging the gap between laboratory research and clinical translation. By integrating engineering design with biological evaluation, I contributed to the development of tools that enhance our understanding of spinal biomechanics and support the safe and effective design of orthopaedic and regenerative technologies.
Back and neck pain are extremely common conditions globally, and the degeneration of the intervertebral disc is commonly associated with this pain, or is a contributor to the degenerative cascade leading to pain in other structures of the spine. The intervertebral disc is a complex structure, and both the mechanical and biological environment play an important role in the health and maintenance of the disc. However, the effect of complex physiological loading on the cellular behaviour in the disc is unknown, and this limits our understanding of disc degeneration, and our ability to adequately develop and evaluate regenerative treatments for disc degeneration. This EPSRC funded project develop and implemented a six-axis bioreactor, capable of applying the complex loads and movements of daily activities to whole intervertebral disc. This offers opportunities to study the interplay between mechanical and biological factors in disc degeneration and to advance regenerative treatments for the intervertebral disc.
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