Mark van der Laan is a professor of statistics at the University of California, Berkeley. His research focuses on developing statistical methods to estimate causal and non-causal parameters of interest, based on potentially complex and high dimensional data from randomized clinical trials or observational longitudinal studies, or from cross-sectional studies. 

• Center for Targeted Learning, Berkeley: https://ctml.berkeley.edu/

• A causal roadmap: https://pubmed.ncbi.nlm.nih.gov/37900353/ 

• Short course on causal learning: https://ctml.berkeley.edu/introduction-causal-inference 

• Handbook on the TLverse (Targeted Learning in R): https://ctml.berkeley.edu/publications/targeted-learning-handbook-causal-machine-learning-and-inference-tlverse-r-software 

• Mark on twitter: @mark_vdlaan

Follow along on Twitter:

• The American Journal of Epidemiology: @AmJEpi

• Ellie: @EpiEllie

• Lucy: @LucyStats

🎶 Our intro/outro music is courtesy of Joseph McDadeEdited by Cameron Bopp