Biostatistician · Clinical Data Scientist
About
Statistics for regulated environments is where I’ve spent most of my career. My professional journey began in a hospital microbiology lab in Yaoundé, culturing bacteria and running diagnostics, before leading me into public health and epidemiology across Cameroon, and later into statistics and data science in France and Belgium.
Somewhere along the way I started developing an interest in open source, particularly in building R and Shiny packages for regulated analyses.
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
Open to new opportunities in pharma, biotech, and clinical research.