Research
Current Projects
Causal Discovery. How do we learn a causal model? Refs: Biometrics (2024) • Biometrics (2021)
Causal Artificial Intelligence. Causal reasoning is key to enhance general AI; DAGs provide a practical framework. Tutorial (PDF)
Replication Studies. Was a treatment effect truly reproduced in follow-up studies? Refs: TEST (2025) • Psychological Methods (2024)
Bayesian Experimental Design. Using priors/Bayes factors to plan studies for causal discovery and model discrimination. Refs: Statistical Science (2024) • TEST (2023)
Bayesian Mendelian Randomization under Heterogeneity. Cluster heterogeneous causal effects and handle pleiotropy with robust priors. (Sorry no paper, yet)
Selected Resources
Tutorials & Notes
- From Statistical to Causal Models (PDF)
Publications
For the complete list, download the PDF: