During my PhD at UCLouvain, I had the opportunity to teach across Bachelor's and Master's programmes in statistics, actuarial science, and programming. I mainly led exercise and practical sessions, helping students connect theoretical material with hands-on problem solving and data analysis.
Teaching assistant for Master's students in actuarial science, leading exercise and practical sessions in financial mathematics and actuarial valuation.
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Main topics
- Financial mathematics and interest-rate modelling
- Option pricing
- Black–Scholes models
- Stochastic calculus
- Numerical methods for actuarial valuation
- Applications to actuarial liabilities
My role
My role focused on preparing and teaching exercise sessions, guiding students through problem-solving, answering questions, and helping bridge the gap between the theoretical material covered in lectures and its practical application.
Teaching assistant for Bachelor's students, introducing programming and statistical data analysis through practical exercises in R, SAS, JMP, SPSS, and Python.
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Main topics
- Programming fundamentals
- Data manipulation and analysis
- Statistical computing
- Data visualisation
- Applying statistical methods through code
- Working with real datasets
My role
I guided students through practical exercises, and helped troubleshoot their code.
Teaching assistant for Bachelor's students, leading exercise and practical sessions in advanced statistics.
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Main topics
- Statistical inference
- Estimation and hypothesis testing
- Regression methods
- Statistical modelling
- Data analysis and interpretation
My role
I prepared and led exercise sessions, worked through statistical problems with students, and helped them develop the intuition needed to move from statistical theory to practical data analysis.
