Hyeji Kim is an Assistant Professor in the Department of Electrical and Computer Engineering and a Fellow of the Advanced Micro Devices (AMD) Chair in Computer Engineering at The University of Texas at Austin.
She received her Ph.D. degree in Electrical Engineering from Stanford University in 2016. She worked as a postdoctoral researcher at the University of Illinois at Urbana-Champaign from 2016 to 2018, after which she served as a researcher at Samsung AI Research Cambridge until 2020.
Her research interests lie at the intersection of information theory and machine learning. In applying information theory to machine learning, her current focus includes the information theoretic analysis and development of machine learning algorithms. In applying machine learning to information theory, her current focus includes the development of codes for communication and compression via machine learning. She is a recipient of the Stanford Graduate Fellowship and participant of the Rising Stars in EECS Workshop in 2015.