Andrew Mack
I am an independent researcher working on AI safety/interpretability research. Previously, I was a senior engineer at Motional. Before that, I was a post-doctoral fellow in Political Science at Stanford University. I completed my PhD from Princeton University in September 2022.
Political Economy
Incentives for Learning in Repeated Elections. (conditionally accepted at American Journal of Political Science)
Biased Learning from Elections. (with Andrew Little and Tom Pepinsky).