I'm passionate about quantitative research. My research focuses on data-driven portfolio construction techniques. I've explored traditional risk-based optimization techniques and ways to improve them using novel machine learning approaches. In particular, my research interests lie in using generative machine learning techniques for simulating optimal portfolios, graph-based methods to assess common sources of downside risk and model explainability. Formerly, I worked at the Belgian robo-advisoryInvestSuite and Ghent University. I hold an MSc Finance from Ghent University and King's College London.