United Kingdom
I build bioinformatics pipelines that turn large, complex genomic datasets into reproducible, clinically meaningful results. Currently working as a Bioinformatics Intern at UCL Genomics, I automate and optimise Nextflow pipelines for Visium HD spatial transcriptomics on HPC clusters, and conduct downstream analysis in R using Seurat - covering clustering, spatially variable features, deconvolution, and multi-modal integration. Alongside this, my MSc thesis at the UCL Great Ormond Street Institute of Child Health involves processing VCF data from 1,000+ patients across two longitudinal cohorts to characterise viral evolution and drug-resistance dynamics. I have a first-author publication in Elsevier's Life Sciences journal on ferroptosis mechanisms in doxorubicin-induced cardiotoxicity - work that sits at the intersection of structural bioinformatics, multi-source data integration, and translational research. My technical toolkit spans R, Bash, Nextflow, Seurat, DESeq2, edgeR, and HPC-based workflow development. I bring a strong focus on reproducibility, documentation, and clear communication of findings to both computational and wet-lab audiences. I am actively seeking bioinformatics roles - particularly in spatial/single-cell genomics, NGS pipeline development, or multi-omics research - where I can contribute rigorous computational work to projects with real clinical or translational impact.
My MSc dissertation at the UCL Great Ormond Street Institute of Child Health focuses on computational virology and genomic epidemiology. I process VCF datasets from over 1,000 patients across two longitudinal cohorts using custom R pipelines, with a strong emphasis on data integrity, automation, and traceability. The work involves engineering QC checkpoints and variant-calling workflows to characterise drug-viral dynamics, as well as multi-cohort comparative statistical analysis and phylogenetic reconstruction to dissect viral evolution and transmission patterns - directly supporting therapeutic development research.