My name is Chulhee (I go by Charlie), and I am an Ewon Assistant Professor at KAIST Kim Jaechul Graduate School of AI (KAIST AI). I also hold a joint affiliation with KAIST Graduate School of AI for Math and a part-time Visiting Faculty Researcher position at Google Research.

I direct the Optimization & Machine Learning (OptiML) Laboratory at KAIST AI. We study the theoretical principles underlying optimization and deep learning, aiming to bridge the gap between mathematical theory and the practical behavior of modern neural network training. Our work also focuses on developing principled methods and algorithms for modern machine learning.

I received my PhD from the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology, where I was fortunate to study under the joint supervision of Prof. Suvrit Sra and Prof. Ali Jadbabaie. Before MIT, I was a master’s student in Electrical Engineering at Stanford University, where I worked with Prof. John Duchi. I finished my undergraduate program in Electrical Engineering at KAIST.

For prospective students: I look for self-motivated graduate students with strong math and computer science backgrounds. If you are an undergraduate student interested in joining our lab, consider applying for summer/winter KAIST AI Research Internship (KAIRI) programs.

Email: {firstname}.{lastname}@kaist.ac.kr
Phone: +82-2-958-0765
Office: KAIST Seoul Campus Building #9, 9401