Erik is a PhD Student in Computer Science at UC Berkeley advised by Jacob Steinhardt. He aims to make future machine learning systems more predictable, reliable, and aligned with human preferences. His current work studies how structured prediction tasks induce new robustness challenges. Previously, Erik received his B.S. in Mathematics and M.S. in Computer Science from Stanford.