My research focuses on the challenges associated with causal inference using observational data. I am particularly interested in causal discovery, the science of inferring causal relationships from empirical data,  and how it can be made more applicable within life course studies and epidemiology more broadly.

Other topics I have an interest in include: Sibling comparison designs, missing information, register data. 

I also work with R development and have implemented several R packages (dataReporter, PCADSC, causalDisco, geeasy).