Research

I study how artificial intelligence and digitalisation are reshaping jobs, skills, organisations and labour markets across Europe. My work combines quantitative labour market analysis with experimental workplace research, translating findings into policy recommendations for EU institutions, governments, and social partners.

At CEPS I lead the Future of Work programme, advising on topics ranging from AI regulation and skills policy to social dialogue. At KU Leuven I lead the Acerta Chair AI at Work, running field experiments on how AI tools change job design, autonomy, and worker wellbeing.

Current affiliations

Educational background

I'm a multidisciplinary, quantitative social scientist. My academic background includes a PhD in Economics, a Master of Advanced Studies in Economics, and a Master of Business Engineering, all from KU Leuven. I'm currently pursuing a Master’s in Sociology, focusing on quantitative analysis and social data science.

Previous professional experience

My professional journey spans roles as a data scientist in the financial and retail sectors, an organisation design researcher at Workitects, and a lead on Future of Work at Bruegel. I've always loved combining theory with practice and turning complex research into actionable insights.