Welcome!

I am an Assistant Professor of Entrepreneurship and Innovation (with tenure) at the School of Business and Economics at Maastricht University. My research specializes on entrepreneurship, strategy, and causal machine learning, with a focus on how data-driven methods can improve decision-making and innovation. I'm a co-founder of the Causal Data Science Meeting.

My work has been published in academic journals across innovation studies and computer science, such as the Journal of Business Venturing, Journal of Product Innovation Management, ACM CHI conference on Human Factors in Computing, Research Policy, or IEEE Transactions on Engineering Management, and received coverage in media outlets such as Harvard Business Review or Poets & Quants.

Causal Data Science Meeting 2026

The Causal Data Science Meeting 2026 takes place online on 4–5 November 2026: two days of talks and discussion on causal data science, machine learning and AI, with researchers and practitioners from academia and industry. Attendance is free, and more than 600 participants have already registered.

Debate with Nick Huntington-Klein and Vasilis Syrgkanis on 4 November. Keynote by Teppo Felin on 5 November.

The Sistine Chapel Problem

In a time when Large Language Models (LLM) can write seemingly beautiful essays and solve hard coding problems in seconds, educators have to ask themselves a basic question: what is the most important thing about learning? The answer, which may surprise, can be found in a park bench conversation from a 1997 movie.