Finishing up PhD in stats with heavy focus on causal inference -- mostly causal Bayesian network stuff and a bit of Bayesian structure equation modeling. In terms of what is happening in industry, I see some related stuff in A/B testing, bandit algorithms and the like. Wondering what else I might be missing?
