Frances is a bioinformatician at Edinburgh University with extensive experience supporting researchers across the life sciences in analysing and interpreting high-throughput sequencing data. Her work focuses on developing and applying bioinformatics pipelines and analytical approaches that enable scientists to extract meaningful biological insights from complex genomic datasets. She works with a wide range of sequencing applications, including whole-genome, transcriptome, and metagenomic data, and has particular expertise in ensuring data quality, reproducibility, and effective downstream analysis.
Frances has spent many years collaborating closely with research groups from diverse disciplines, providing both technical expertise and strategic advice on study design, sequencing strategy, and data interpretation. Alongside her consultancy and applied work, she is also committed to training and knowledge exchange, delivering workshops and guidance to help life scientists build confidence in handling and analysing their own sequencing data.
Education & Career
- PhD in Bioinformatics
- MSc Bioinformatics
- Bioinformatician at Edinburgh University, providing analysis support and training for high-throughput sequencing projects at the Gene Therapy Mission Hub.
Research Focus
Frances’ work centres on enabling researchers to make the most of next-generation sequencing technologies. She is particularly interested in:
- Developing and refining bioinformatics workflows for diverse sequencing applications
- Supporting reproducible and scalable approaches to data analysis
- Bridging the gap between experimental design and downstream interpretation
Current Projects
- Providing end-to-end analysis support for whole-genome, transcriptomic, and metagenomic studies
- Collaborating with life science researchers on custom data workflows
- Contributing to training programmes that build bioinformatics capacity in the research community
Professional Consultancy
Frances provides expert bioinformatics support to academic and applied research projects, offering guidance on sequencing design, data processing, and statistical interpretation. She regularly collaborates with interdisciplinary teams, ensuring robust, reproducible, and biologically meaningful outcomes.
Teaching & Skills
- Teaches workshops on sequencing data analysis, quality control, and reproducible pipelines
- Skilled in a wide range of bioinformatics tools and platforms for genomic and transcriptomic analysis
- Advocates for open science, reproducibility, and empowering life scientists to engage confidently with their data
Links
• LinkedIn
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