Curriculum Vitae
Profile
Biostatistician with 5+ years in pharmaceutical clinical development, clinical assay statistics, and translational research. Experienced in longitudinal and repeated-measures models, time-to-event methods, Bayesian methods, and high-dimensional biomarker data. Strong R and SAS programmer with CDISC SDTM/ADaM expertise. Open-source enthusiast and developer of R (shiny) packages for regulated analytical workflows.
Experience
Open-Source Development · Reprostats · Belgium Oct 2025 – Present
- Designed and built R packages including Bayesian prior elicitation, reproducibility for R projects, tamper-evident audit logging, and row-level data provenance (CDISC-compliant exclusion tracking).
- Built IQ/OQ/PQ qualification suites for the
regulogpackage, covering 21 CFR Part 11 §11.10, §11.100, §11.200 and EU Annex 11 Clauses 9 and 11.
Statistician – FSP · Enovalife · GSK · Brussels, Belgium May 2022 – Mar 2026
Vx Clinical Assay Statistics · Jul 2023 – Dec 2025
- Led statistical design, analysis, and interpretation of clinical assay experiments supporting vaccine immunogenicity programmes.
- Provided statistical expertise across assay development, validation, and lifecycle management including performance characterisation for pharmacodynamic and predictive endpoints.
- Developed and executed statistical analysis plans.
- Championed R adoption; designed and deployed R Shiny dashboards and analysis tools to enhance reproducibility, traceability, and reporting.
Vx Preclinical & Research Statistics · May 2022 – Jul 2023
- Performed analysis of preclinical data supporting translational research questions.
- Designed and implemented statistical analysis plans; conducted QC and compiled analysis reports.
- Participated in cross-functional planning meetings on statistical methodology and experimental design.
Statistician – Health Data Scientist · INSERM · Bordeaux, France Jan 2020 – Mar 2021
- Wrote and maintained statistical analysis plans for high-dimensional survival data studies incorporating biomarker endpoints.
- Implemented advanced methods: time-to-event models, penalised regression, and machine learning-based prediction models.
- Co-authored research communications.
Epidemiologist · Cameroon Society of Epidemiology (CaSE) · Yaoundé, Cameroon Sep 2015 – Aug 2016
- Designed data collection tools; supervised vaccine programme epidemiological investigations and public health surveillance.
Open-Source R Packages
Tamper-evident, hash-chained audit logging. 21 CFR Part 11 & EU Annex 11. IQ/OQ/PQ validation suite.
Row-level data provenance and exclusion tracking. CDISC Reviewer's Guide-aligned reports.
Reproducibility auditing — session capture, dependency locking, script certification, drift detection.
Structured Bayesian prior elicitation, conflict diagnostics, and regulatory reporting.
Education
| Degree | Institution | Year |
|---|---|---|
| M.Sc. Public Health Data Science | University of Bordeaux, France | 2019 – 2020 |
| M.Sc. Applied Statistics & Biostatistics | Hasselt University, Belgium | 2016 – 2019 |
| M.Sc. Epidemiology | University of Buea, Cameroon | 2013 – 2015 |
| B.Sc. Microbiology | University of Buea, Cameroon | 2010 – 2013 |
Certifications
- Advanced Certificate in Practical Applications of Bayesian Statistics in Clinical Trials · London School of Business & Research · Oct 2025 – Mar 2026
- ICH Good Clinical Practice E6 (R2)
- SAS Programming 2: Data Manipulation Techniques
- SAS Macro Language · SAS Programming for R Users
- SDTM001 – CDISC SDTM Implementation
Languages
English — Fluent · French — Advanced · Dutch — Basic
Technical Skills
Statistical methods: Mixed models, survival analysis, Bayesian methods, penalised regression, high-dimensional data analysis, biomarker statistics, time-series methods
Programming: R (advanced), R Shiny, SAS (advanced), Python (intermediate), Git, SQL
Standards & frameworks: CDISC SDTM/ADaM, 21 CFR Part 11, EU Annex 11, ICH E9(R1), GCP E6(R2)
R ecosystem: R Shiny & package development, testthat, pkgdown, devtools, Quarto, dplyr, ggplot2, haven, Rmarkdown