About me
Andrew Mack
I am an independent researcher studying deep learning. I am interested in understanding how deep neural networks work, and how to make them better and more aligned. Previously, I was a post-doctoral fellow in Political Science at Stanford University. I completed my PhD from Princeton University in September 2022.
Research
Research
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).