About
I am a professor of computational statistics in the MATH department at University of Copenhagen. I cofounded Copenhagen Causality Lab and do research at the intersection of AI and statistics. My main interest is to automatize learning of causal explanations from data. I use techniques from Bayesian networks, stochastic processes, predictive modeling and machine learning to discover causal structures and achieve explainable, robust and transportable AI.
Interests
- Causality
- Machine learning and AI
- Model selection
- Stochastic dynamic models
- Event processes
Education
PhD in Statistics, 2004
University of Copenhagen
MSc in Mathematics, 2000
University of Copenhagen