Study design support
Study protocols, measurement selection, and validation strategies for laboratory or wearable studies of human movement.
Collaboration
I welcome academic and R&D opportunities involving movement measurement, computational analysis, or research software, with applications in digital health and public health. The areas below give examples of how I can contribute, including formal consultancy where appropriate.
Study protocols, measurement selection, and validation strategies for laboratory or wearable studies of human movement.
Signal processing, feature extraction, statistical modelling, and reproducible analysis in R, Python, or MATLAB.
Evidence synthesis, reporting checklists, and technical documentation for movement measurement research.
Agreement, equivalence, bias, precision, and feature comparability analyses for device and algorithm evaluation.
Schema design, semantic representation, provenance tracking, and linked-data export for behavioural datasets.
Turning academic methods into accessible web resources, app prototypes, technical reports, and reusable documentation.
Send a short description of your project, dataset, or method question. I can then suggest the most appropriate route for a meeting, academic collaboration, or formal consultancy pathway.
Contact me