Alzheimer’s disease · 2023
MC-RVAE
A multi-channel recurrent variational autoencoder for modelling multimodal Alzheimer’s disease progression from incomplete longitudinal data.
Research code supporting a 2023 NeuroImage paper.
Projects
Selected research software and reproducible code from my work in medical imaging and machine learning. Several repositories contain the implementation and analysis code behind peer-reviewed papers; each card links to the associated publication.
Fetal MRI · 2026
Fetpype
A collaborative, BIDS-aware pipeline for reproducible fetal brain MRI analysis, to which I contributed processing features and documentation.
Described in a 2026 Journal of Open Source Software paper.
Multiple sclerosis · 2022
Optic nerve lesion detection
An interpretable 3D CNN for detecting optic nerve lesions in MRI, evaluated on two independent multiple-sclerosis cohorts.
Research code supporting a 2022 NeuroImage: Clinical paper.
Multiple sclerosis · 2024
Graph Network Markers
Code for extracting and analysing structural and functional brain-connectivity markers in multicentre multiple-sclerosis cohorts.
Analysis code supporting a 2024 Network Neuroscience paper.
Alzheimer’s disease · 2019
SIMLR-AD
Unsupervised multiple-kernel clustering of blood-marker profiles to reveal distinct Alzheimer’s disease imaging phenotypes.
Research code supporting a 2019 PLOS ONE paper.