Stephen's main area of research is causal inference and specifically methods for Mendelian randomization: the use of genetic variants to understand whether putative risk factors are causally related to specific disease outcomes (target validation). He is always open to requests for collaboration, either on theoretical or applied Mendelian randomization projects.