A Folding@Home Docker container with GPU support
Reproducible bioinformatics and machine learning workflows for the AI & Omics Research Internship 2025. Includes modules for clinical data cleaning, Differential Expression Analysis (DEA), and a hybrid R/Python pipeline for Huntington's Disease biomarker discovery.
R Shiny application for exploratory RNA-seq analysis, differential expression, and pathway enrichment in Huntington’s Disease brain tissue.
MRI biomarker analysis scripts from MSc Clinical Neuroscience dissertation, UCL
Alignment-free estimation of CAG/CTG repeat lengths from targeted sequencing data
A PyTorch-based neural framework leveraging quantum computing principles (Superposition, Entanglement, Interference) for the detection of Huntington's Disease from MRI scans
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