I am an Assistant Professor in the Graduate School of Data Science at Seoul National University. Prior to joining Seoul National University, I was an Associate Research Scientist at Columbia University and Postdoctoral Research Associate at Computer Science, Purdue University working with Prof. Elias Bareinboim. I got my Ph.D. in College of Information Sciences and Technology, Pennsylvania State University, University Park, under the supervision of Prof. Vasant Honavar.

Currently, I am working on developing methods for applying causality in sequential decision-making and developing theory of causal effect identifiability and transportability. During my Ph.D. study, I focused on causal discovery in a relational domain.
[Curriculum Vitae]


Research Interests

  • Causal Inference (how can we identify the effect of an intervention?), Causal Decision Making (how can we utilize causal information in decision making?), Causal Discovery (how can we establish causal relationships from complex data?)
  • (Future) Developing theories and applications for health and social domains with causality as a first principle by bringing ideas from economics. Developing robust machine learning algorithms utilizing causal knowledge.

Employment & Education

Seoul National University   Assistant Professor   2021—present
Columbia Univeristy   Associate Research Scientist   2019—2021
Purdue University   Postdoctoral Research Associate   2018—2019
Pennsylvania State University   Ph.D.   2013—2018

News

  • (Mar 2021) I joined Graduate School of Data Science at Seoul National University as an Assistant Professor.
  • (Sep 2020) A paper on exploring the optimal policy for structural causal bandits accepted at NeurIPS’20!
  • (Aug 2020) Invited talk at CSE AIGS, POSTECH, South Korea
  • (Jun 2020) A paper on identifiability with partial-observability is accepted at ICML’20.
  • (Feb 2020) Attended AAAI’20 to present general identifiability and transportability papers.
  • (Nov 2019) A paper on transportability is accepted at AAAI’20. Additionally, the GID paper is invited to a sister track.
  • (Jul 2019) I am thrilled to announce that my paper on general identifiability won the best paper award at UAI’19.
  • (Jul 2019) I am joining Columbia University as an Associate Research Scientist!
  • (May 2019) Two papers are accepted at UAI’19.

Academic Activities

Program Committee for