I talk a lot about data and causal inference.

This is a very broad topic. In fact, you can probably find a “data and causal inference” angle to almost everything in this world. Below you can watch a haphazard sample of recent talks I gave—on causal “AI”, coronavirus treatments, and the use of observational data—and an interview on causal knowledge as a prerequisite for confounding adjustment. If you are interested in watching applications of causal inference methods to health challenges, check out CAUSALab’s YouTube Channel.