About Us

I am a trained scientist with over 14 years’ experience spanning experimental design, wet-lab research, and bioinformatics. My background across both experimental and computational genomics allows me to support projects from early study design through to robust, interpretable data analysis.

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I specialise in RNA-seq and ChIP-seq data analysis, as well as ATAC-seq and qPRO-seq experimental design. Having worked extensively with next-generation sequencing data, I understand both the technical and biological considerations that underpin high-quality, reproducible results. This combined perspective enables me to identify potential pitfalls early, design appropriate analytical strategies, and ensure that results are biologically meaningful as well as statistically robust.

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A core focus of my work is reproducibility. I develop custom, publication-ready bioinformatics pipelines using conda, Python, and Snakemake, ensuring analyses are transparent, well-documented, and straightforward to reproduce or extend. Wherever possible, workflows are designed to be scalable and portable, supporting collaboration, long-term data stewardship, and future reanalysis.

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I work directly with clients, providing hands-on support and clear communication throughout each project. Rather than delivering black-box outputs, I prioritise transparency and interpretation, helping clients understand their data and the implications of the results for downstream experiments, publications, or decision-making. My goal is to deliver analysis that not only meets technical standards, but genuinely accelerates research outcomes.

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I support academic research groups, research institutes, and biotech organisations seeking expert guidance in genomics data analysis and experimental design. Whether advising on study setup, analysing complex datasets, or developing reproducible workflows, I aim to provide rigorous, thoughtful, and practical support tailored to each project.