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.

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]



Mar 13, 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.
Jan 10, 2023 Our group will participate in the AI reasoning project to develop a human-like AI to tackle elementary school-level rich math problems, join our five year journey!
Jan 2, 2023 Jaehyun, Jaegyun, Sabina, Mintaek, Subin, Youngdo, and Sangwoo joined our team.
Dec 9, 2022 Invited to present our synthesized customs dataset at the 17th annual WCO PICARD conference [Photo]
Nov 20, 2022 Our probabilistic programming paper is published at Frontiers in Public Health.