Skip to main content

CV

Download CV

Summary

I am a PhD candidate in statistics at UCLouvain (Belgium), within the Institute of Statistics, Biostatistics and Actuarial Sciences. My research interests focus on bio-statistical methods applied to cancer patients.

In parallel with my doctoral thesis, I am teaching several courses in statistics and probability at bachelor and master’s level at UCLouvain and UNamur. I also give trainings and consulting in data science, statistics and R programming for UCLouvain’s technology platform for Statistical Methodology and Computing Service.

In my spare time, I write about statistics and code in R via my blog statsandr.com.


Education

  • 2017 – 2024: PhD in statistics – UCLouvain, Belgium
    • Thesis: Life and health actuarial pricing: a biostatistics approach (supervisors: Prof. Catherine Legrand and Prof. Michel Denuit)
    • See all publications, posters and talks
  • 2015 – 2016: MSc in econometrics & operations research – Maastricht University, Netherlands
    • Thesis: Combining professional and survey forecasts for macroeconomic data (supervisor: Prof. Nalan Basturk)
  • 2013 – 2015: MSc in economics – KULeuven, Belgium
    • Thesis: Negativity bias and framing effect in charity donations: a field experiment (supervisor: Prof. Jo Swinnen)
    • Faculty exchange of one semester at University of Illinois at Urbana-Champaign (USA)
  • 2010 – 2013: BSc in economics & management sciences – UCLouvain, Belgium

Experience

Teaching

  • 2024: Visiting lecturer for the course “Advanced quantitative methods” – UNamur, Belgium
  • 2017 – Present: Teaching assistant in statistics – UCLouvain, Belgium
  • 2018 – Present: Instructor for UCLouvain’s university certificates in statistics – SMCS, Belgium

Industry

  • 2018 – Present: Consultant in statistics and data analysis for:
    • Researchers and academics – SMCS, Belgium
    • Professionals and companies – datanalyze.be
  • 2016 – 2017: Data scientist – Business & Decision, Belgium
    • Involved in several projects focusing on data science and data visualization

Technical skills & languages

Software

  • R (RStudio, R Markdown & Quarto, R Shiny), Jamovi, GitHub/GitLab, LaTeX
  • Web development
  • See examples of projects

Languages

  • French (native)
  • English (fluent)
  • Dutch (basic)