Hi! I am a third-year PhD student in Machine Learning at Carnegie Mellon University. I am 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 am broadly interested in understanding the interaction of deep neural networks and data. Currently, my research focuses on out-of-distribution robustness. Specifically, I want to better understand distribution shifts that occur in the wild and design ways to assess/improve the model’s performance under such shifts with limited labeled data. I am also interested in lifelong learning especially understanding how foundation models can best adapt to new information.

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

_{Last updated Jan 19, 2024}