Sundong Kim PhD student at KAIST

Sundong Kim

Ph.D. Candidate, KAIST KSE
E-mail: (at)
'Open-Minded', 'Opinionative', 'Optimist', 'Optimizer'

Seeking a research/data scientist job starting from Fall 2019. If we have similar interests, don’t hesitate to reach out. [Download C.V. / Last updated: Nov 6, 2018]

About Me

I am a fourth-year Ph.D. student in Graduate School of Knowledge Service Engineering (KSE) at Korea Advanced Institute of Science and Technology (KAIST). Currently, I’m a member of Data Mining Lab (Mar 2015 - Current). My advisor is Jae-Gil Lee. I received B.S and M.S in Dept. of Industrial & Systems Engineering at KAIST (Feb 2013, 2015 respectively). And I was a member of Risk Analysis & Management Lab (Mar 2014 - Feb 2015), during my master’s course.

My current research topic is predicting & analyzing patterns from customer’s behavioral data.

From 2013-2016, I worked as a research assistant of the Exobrain WiseKB project. I developed and deployed knowledge base bootstrapping (B-box) module, by iteratively refining type information of entities. The Exobrain AI won the Korean quiz show in Nov 2016.

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Contact Details

  • E-mail: (at)
  • WWW:
  • Address: Graduate School of Knowledge Service Engineering, E2-1 #1209 KAIST, 291 Daehak-ro, Daejeon, South Korea