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

We’re excited to open submissions for the Causal Data Science Meeting 2026, bringing together researchers and practitioners to explore how causality is shaping the future of machine learning and AI.

Keynote: We’re honored to welcome Prof. Teppo Felin as our 2026 keynote speaker. Teppo Felin is one of the leading voices connecting causal reasoning, entrepreneurship, strategy, and AI. His recent research challenges purely predictive approaches to decision-making and argues that progress in science, entrepreneurship, and innovation depends on theory-driven causal reasoning, experimentation, and intervention.

Event: Nov 4–5, 2026 (Virtual)
Submission Deadline: Sept 30, 2026

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.