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, or IEEE Transactions on Engineering Management, and received coverage in media outlets such as Harvard Business Review or Poets & Quants.

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.

Causal Data Science Meeting

We’re excited to open submissions for the Causal Data Science Meeting 2025, 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. Stefan Feuerriegel as our 2025 keynote speaker! He heads the Institute of Artificial Intelligence in Management and holds dual appointments at LMU Munich’s School of Management and the Faculty of Mathematics, Informatics, and Statistics. His research on causal ML and AI in decision-making will offer valuable insights for the community.

Event: Nov 12–13, 2025 (Virtual)
Submission Deadline: Sept 30, 2025