Measurement science
Accelerometer metrology
Static and dynamic assessment of research-grade wearable accelerometers, including drift, calibration, repeatability, and signal behaviour. Manuscript being prepared for submission.
Work
Selected projects in human movement measurement, analytical methods, and research software, with applications in digital health and public health.
Measurement science
Static and dynamic assessment of research-grade wearable accelerometers, including drift, calibration, repeatability, and signal behaviour. Manuscript being prepared for submission.
Digital health analytics
Feature extraction and modelling using continuous glucose monitoring, heart rate, steps, sleep, and physical activity data.
Semantic interoperability
Ontology-informed representation of behavioural events and bout-level outputs using FAIR and semantic web principles.
Scoping review
Scoping review and meta-regression of accelerometer-based methods for 24-hour movement behaviour assessment. Manuscript under review.
Code and analysis
Reusable R, Python, and JavaScript workflows for accelerometer parsing, feature extraction, statistical modelling, visualisation, and small web tools.
Evidence synthesis
An evidence explorer for comparing studies of wrist-accelerometer models that estimate sleep, sedentary behaviour, or physical activity.
Signal processing
Research on whether calibration and harmonisation pipelines improve feature equivalence across wrist-worn accelerometers.

Modelling ยท MSc coursework
I built a ten-segment body model using forward dynamics in MATLAB and Simscape Multibody. This developed my practical understanding of joint mechanics, optimisation, and testing model assumptions.
Reporting quality
Transparent reporting guidance for accelerometer-based prediction models in 24-hour movement behaviour analysis.
Criterion validation
I am evaluating wearable estimates of energy expenditure and physical activity intensity against indirect calorimetry, alongside cross-device comparisons during free living. The work combines laboratory testing, signal processing, and predictive modelling.