I'm Ceilidh (she/her), a biostatistician and researcher at The Francis Crick Institute. My research investigates understanding and predicting immune response and developing robust and reproducible computational tooling to help us answer questions and explore hypotheses.

I spend most of my time doing analysis and visualisations using medical data (of varied types and kinds!) to investigate patient responses. I'm particularly interested in FAIR data principles, ethical data practices and how we can produce reproducible models, analysis pipelines and frameworks across scientific fields.

My previous work has ranged across a series of projects:

• 🧬 Reproducible Pipeline for Biomarker Investigation: building a robust and reproducible modular pipeline for investigating CT image biomarkers that ensures transparency and facilitates collaboration and validation of findings
• 📚 Contributing to Open Source Projects: see our research-group developed Python package scikit-rt and The Turing Way
• 📊 Data Ethics and Reproducibility: organising a symposium on data ethics, contributing to open-access resources for data reproducibility and ethics, Data Hazards Project for an open-source vocabulary for data ethics, and participating in discussions and collaborations as part of community-led projects.

Find out more about my work on my website!