I’m a PhD student at OSI Lab and OptiML Lab in the Kim Jaechul Graduate School of AI at KAIST, where I am very fortunate to be jointly advised by Se-Young Yun and Chulhee Yun. I completed my MSc in the same school (thesis: Near-Optimal Clustering in Block Markov Decision Processes) and my BSc in Mathematical Sciences and Computer Science (double major), also at KAIST. During my undergraduate years, I participated in research with four different groups covering a range of fields (refer to ‘Experiences’). Since then, I have been also working closely with Chang D. Yoo and Gwangsu Kim.

My primary research interest is, broadly speaking, mathematical and theoretical AI. This is motivated by my firm belief that a solid theoretical foundation in AI will be critical in 1. ensuring that the progress we’ve made is sound and 2. guiding us to our next research direction in a principled manner. To do this, I’m interested in 1. explaining the recent success of machine/deep learning algorithms and 2. designing mathematically well-grounded algorithms for various scenarios. Some of my specific research interests include RL theory, bandits, machine/deep learning theory, algorithmic fairness, statistics, optimization theory, and more.

I also play violin occasionally. I was a first violinist at the KAIST Orchestra (KAO), MDOP Orchestra at Kyung Hee University, Merry Orchestra, and recently, KAO-S.