Biostatistician · Clinical Data Scientist
Rigorous statistics.
Reproducible by design.
About
Most recently, I spent over three years doing statistics at GSK — assay validation, immunogenicity analysis, the kind of work where being wrong has real consequences. That shapes how I think about reproducibility.
My path here went through Cameroon, France, and Belgium, with degrees in epidemiology, biostatistics, and health data science along the way.
Currently building R packages I wish had existed much earlier — things that make regulated analyses easier to defend.
Methods
Tools & Standards
Open-Source R Packages
Tamper-evident, hash-chained audit logging for R. Covers 21 CFR Part 11 and EU Annex 11. Ships with IQ/OQ/PQ qualification scripts.
Row-level data provenance and exclusion tracking. CDISC Reviewer's Guide-aligned HTML provenance reports.
Reproducibility auditing for R. Session capture, dependency locking, script certification, and drift detection.
Bayesian prior elicitation for clinical trials. Beta, Dirichlet, and Normal-Gamma families with visualisation tools.
Open to new opportunities
Available for permanent positions and consulting in pharma, biotech, and clinical research.