Hyeji Kim

I am an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. I am a member of the Wireless Networking & Communications Group (WNCG) and an affiliate of the Machine Learning Laboratory (MLL). I received my PhD in Electrical Engineering from Stanford University. Before joining UT Austin, I worked as a postdoctoral researcher at the University of Illinois at Urbana-Champaign and later served as a researcher at Samsung AI Research Cambridge.

My research interests lie at the intersection of information theory and machine learning. In applying machine learning to information theory, I am currently focused on developing codes for communication and compression—particularly in scenarios where analytical code design is challenging, such as communication over very high-dimensional channels and distributed data compression. Conversely, in applying information theory to machine learning, I am working on developing theoretical frameworks for interpreting and analyzing machine learning models.

 

Research Blog: Explore our recent research at deepcomm.github.io.