Hi! I am a fourth-year PhD student in Machine Learning at Carnegie Mellon University. I am fortunate to be advised by Zico Kolter and Aditi Raghunathan . I completed my 5th year Master’s at UC Berkeley advised by Yi Ma. Previously, I received my B.S. in Electrical Engineering and Computer Science at UC Berkeley with a minor in Bioengineering.

I interested in robust ML and understanding deep learning through scientific methods. My research focuses on understanding the out-of-distribution and long-tail behaviors of models. To this end, I have worked on strategies for model assessment under real-world shifts with limited labeled data. Lately, I’ve been interested in building robust agents by understanding how undesired behaviors trace back to errors that snowball across training, inference, and interaction.

Email: kbaek@andrew.cmu.edu
Publications / Google Scholar / CV

_{Last updated Jan 22, 2025}