Applications
Pharmacological challenges, healthy ageing, disease models, drug discovery endpoints.
Brain changes can be subtle, so reliable detection requires methods you can trust. Each project deserves a bespoke approach for the questions at hand.
Eilidh MacNicol
Postdoctoral Research Associate, King's College London
Research data scientist who develops rigorous, reproducible analysis approaches to observe brain changes over time that are accessible to everyone.
Research
Methods & Pipelines
Analysis pipelines in research are rarely well-documented where it matters. I build and contribute to open-source tools to make rigorous analysis more accessible and trustworthy. The goal is lowering barriers to entry for science everyone can build on.
Toolkit
Programming & Infrastructure
- Python
- R
- shell
- HPC/SLURM
- Linux containers
- renv
- uv
- Git
Statistics
- parametric and non-parametric testing
- mixed-effects models
- PLS
- cross-validation
Neuroimaging
- NiPreps
- BIDS
- nibabel
- nilearn
- AFNI
- ANTs
- FSL
- SPM
- tedana
Publications
Full list on Google Scholar- Loading publications…
Open Source
plsdo
Correlational and discriminatory PLS analysis in Python.
braincentrekcl/plsdonmriprep
Preprocessing workflows for non-MRI modalities: autoradiography, histology, HPLC.
braincentrekcl/nmriprepfMRIPrep-Rodents
maintainerStandardised fMRI preprocessing for rodents, based on fMRIPrep.
NiRodents
maintainerRodent-specific preprocessing workflows for neuroimaging.
templateflow
contributorOpen-source, DataLad-based neuroimaging template repository.
mriqc
contributorQuality control workflows for MRI.
About
Outside the lab, I'm usually on a bike or taking my dog for a walk.