Computation

As Computational Technical Expert at CINN, I support the computational and methodological work behind the centre's neuroimaging and brain stimulation research. This page collects my code, open data and the tools I work with.

Code repositories

My code is on the University of Reading GitLab and on GitHub.

Open data and code

• Speech adaptation and tDCS. Preregistration, data and analysis code for the brain stimulation study published in Cortex (2025): osf.io/9bswe.
• Speech tracking in bilinguals. Preregistration for the EEG study of continuous speech tracking in noise, published in Brain and Language (2022): osf.io/xyqfr.
• Chinese characters and words database. A database of ~3,000 characters and ~2,200 words from primary-school textbooks, described in Behavior Research Methods (2024).

Methods and tools

• Neuroimaging analysis: task and resting-state fMRI, structural MRI, multivoxel pattern analysis (MVPA), effective-connectivity network modelling (euSEM, dynamic causal modelling), EEG (continuous neural tracking, ERPs)
• Software and programming: MATLAB, Python, R, FSL, SPM
• Pipelines: reusable, version-controlled analysis pipelines for MRI data
• Open science: preregistration, code and data sharing