Collaboration

Research collaboration in human movement.

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 design support

Study protocols, measurement selection, and validation strategies for laboratory or wearable studies of human movement.

Modelling and analysis

Signal processing, feature extraction, statistical modelling, and reproducible analysis in R, Python, or MATLAB.

Evidence and reporting

Evidence synthesis, reporting checklists, and technical documentation for movement measurement research.

Measurement validation

Agreement, equivalence, bias, precision, and feature comparability analyses for device and algorithm evaluation.

FAIR data systems

Schema design, semantic representation, provenance tracking, and linked-data export for behavioural datasets.

Research translation

Turning academic methods into accessible web resources, app prototypes, technical reports, and reusable documentation.

Interested in collaborating?

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