Health and behavioural-science researcher with a strong interest in data science. I study physical activity, screen time, and the movement behaviours of children and adolescents — how to measure them well, what shapes them, and how to shift them at scale.
Most of my collaborative code lives in the Motivation and Behaviour lab organisation, where I lead the research program.
- Running large Individual Participant Data meta-analyses to better understand kids and screens.
- Building reproducible pipelines for analysing data.
- Exploring how LLMs can accelerate systematic reviews without sacrificing rigour.
Measurement — making movement and screen exposure quantifiable
| Project | What it does |
|---|---|
| SquareEyes | Computer-vision toolkit for measuring screen exposure from wearable cameras. |
| gt3x2csv | R package converting ActiGraph .gt3x files into CSV ~15× faster than ActiLife. |
| sleepIPD | Standardised accelerometer reprocessing for a multi-country sleep and physical activity pooled analysis. |
| kidvisionAccel | Opinionated accelerometer processing and reporting for the KidVision project. |
Synthesis — turning a literature into evidence
| Project | What it does |
|---|---|
| screen_umbrella | Umbrella review of the evidence on children's and adolescents' screen use (protocol). |
| bigger_picture | Reproducible targets pipeline for an IPD meta-analysis of screen use, learning, and mental health. |
| sieve | LLM-assisted abstract and full-text screening for systematic reviews, integrated with Rayyan. |
Other
| Project | What it does |
|---|---|
| cv | My automated, reproducible academic CV pipeline — the source of truth for this profile. |
R · Python · Stata · Julia · targets / renv · Quarto · Docker · multilevel modelling · meta-analysis · machine learning
- Full CV — bit.ly/tarensanders
- Writing for The Conversation