Sundong Kim


I am an assistant professor at GIST AI Graduate School. In these days, I am interested in understanding and building a human-like AI with abstraction and reasoning. [Project descriptions]

Before joining GIST, I worked as a Young Scientist Fellow at Data Science Group, Institute for Basic Science (IBS). I worked on representation learning, predictive analytics, and democratizing AI for social goods (e.g., World Customs Organization).

From 2015 to 2019, I was a Ph.D. student at Data Mining Lab, KAIST. My thesis was about predicting offline customer behavior. I received my undergraduate and master degree from Dept. of Industrial and Systems Engineering at KAIST. During my studies, I interned at Microsoft Research Asia and Deloitte Consulting. I also spent beautiful semesters at National University Singapore and TU-Berlin.

  • Join us: See this page and Fill this form if you are incoming MS/PhD students at GIST AI, or interested in joining our group as an undergraduate intern.

Office: AI Graduate School (S7) Room 204 and 208, GIST
E-mail: sundong (at)
Call: (+82)-62-715-6387

[CV] [Google Scholar] [Services & Talks]

[Schedule time with me]



May 20, 2023 Three papers are accepted to KCC 2023. These are my first papers with GIST students.
May 17, 2023 Our federated learning paper is accepted to KDD 2023.
Apr 26, 2023 One paper is accepted to IJCAI 2023.
Apr 24, 2023 Sejin, Ohyeon, Yoonah, Jisung, and Jihwan joined our team.
Apr 18, 2023 One postdoc position is available, please apply through this link.
Feb 28, 2023 New course: Data Engineering (AI5308/AI4005) is launched for Spring 2023.
Feb 27, 2023 Doyoon, Donghyun, Hyebin, Wonkyu, and Woochang joined our team.
Feb 16, 2023 Happy ARC Day 🧩
Feb 10, 2023 Invited to serve as a program committee of ICML 2023 and KDD 2023.
Jan 10, 2023 Our fair representation learning paper is accepted to The Web Conference 2023.