Hyeji Kim

I am a researcher at Samsung AI Center Cambridge in the United Kingdom. Before I joined Samsung AI Center, I worked as a postdoctoral research associate at the University of Illinois at Urbana-Champaign hosted by Prof. Pramod Viswanath and Prof. Sewoong Oh. I completed my PhD under the supervision of Prof. Abbas El Gamal in Electrical Engineering at Stanford University in September 2016. I received my B.S. from Korea Advanced Institute of Science and Technology in 2011.

My research interests are in information theory and machine learning. I am particularly interested in research that creates synergy between these two disciplines. In applying machine learning to information theory, my mission is to automate the discovery of communication algorithms using deep learning. In applying information theory to machine learning, my mission is to develop new sets of tools to analyze data using novel information theoretic methods. My research spans both theory and practice. During my PhD, I established several new optimality results on the fundamental limits of communications in networks (thesis).

More recent research interests also include developing tools and frameworks for designing light-weight high-accuracy neural network models, motivated by practical challenges in the AI industry.

Here is my CV.



I am truly passionate about teaching and mentoring students. I have taken every opportunity to teach during my graduate training at Stanford University. I was an instructor for Introduction to Statistical Signal Processing. I was a teaching assistant (TA) for Introduction to Statistical Signal Processing, Network Information Theory, Digital Signal Processing, Introduction to Digital Communications, and Fourier Transform and its Applications.