Collaboration

Collaboration across wearable sensing, movement behaviour, and digital health methods.

I welcome conversations about research collaboration, methods support, project development, and formal consultancy where appropriate.

Study design support

Advice on wearable sensor placement, protocol design, validation strategy, and outcome selection for movement behaviour studies.

Data processing workflows

Accelerometer parsing, calibration, feature extraction, visualisation, and reproducible R or Python analysis pipelines.

Evidence and reporting tools

Structured reviews, reporting checklists, scoping interfaces, and technical documentation for wearable-method projects.

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