CV
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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 assistant for several courses in statistics and probability at bachelor and master’s level. 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 – Present) 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
- (2017 – Present) Teaching assistant in statistics – UCLouvain, Belgium
- See all courses
- (2018 – Present) Consultant and instructor in statistics, R programming and data science
- Statistical and data analysis consulting for:
- Students and researchers (see easystat.be)
- Professionals and companies (see datanalyze.be)
- Instructor for UCLouvain’s university certificates (SMCS):
- “Introduction to data analysis with R”
- “Junior data analyst”
- “Practice of statistics with R”
- Statistical and data analysis consulting for:
- (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
- See examples of projects
Languages
- French (native)
- English (fluent)
- Dutch (basic)