Mrs Olabimpe Adegbuyi

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  • Qualifications:B.Sc. (Hons), MSc PH, MSc Health Tech.
  • Position:PhD Researcher
  • Department:College of Arts, Technology and Environment
  • Email:Olabimpe.Adegbuyi@uwe.ac.uk
  • Social media: LinkedIn logo

About me

I am a health technology researcher at UWE Bristol, working at the intersection of biomedical engineering, public health, and data-driven decision-making. I am completing a PhD in Bioengineering focused on using paramagnetic particle-based detection for disease applications.

Alongside my doctoral research, I support clinical research delivery and governance, bringing a strong understanding of real-world clinical pathways, trial operations, and research quality standards.

My student support draw on research-led practice: helping learners build confidence in research methods, evidence appraisal, data analysis, and digital tools that strengthen learning and professional readiness. I’m particularly committed to inclusive, student-centred education and to developing resources that make complex topics clearer, more practical, and more engaging.

Area of expertise

My expertise spans bioengineering and biosensing for diagnostics, clinical research delivery, public health and applied data, alongside inclusive teaching, engineering practice, and project delivery across university and NHS settings.

Bioengineering & Biosensing Diagnostics: magnetic/paramagnetic particle-based detection, magnetic immunoassays, assay optimisation and validation, antibody–particle conjugation , and translating biological recognition into measurable signals.

Signal, Data & Analytical Methods: time-series/sensor signal processing, feature extraction, data visualisation, and reproducible analysis workflows to improve repeatability, interpretability, and scalability of diagnostic measurements.

Research Delivery & Governance: experience supporting clinical research operations in NHS environments, including research documentation, quality processes, coordination, and stakeholder communication aligned with Good Clinical Practice principles.

Public Health & Evidence-Based Practice: applying public health thinking to real-world health challenges, health inequalities, prevention, and critical appraisal – connecting diagnostic innovation and data to meaningful health outcomes.

Inclusive Teaching & Student Support: research-led learning support, academic skills development (research methods, data interpretation, writing), and inclusive practice that builds learner confidence and participation.

Publications

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