I’m an incoming CS Ph.D. student at New York University. I’m also a Research Scientist Intern at LG AI Research, working on model generalization. Before that, I finished my master’s at the Graduate School of Data Science @ Seoul National University, advised by Professor Sanghack Lee.

My research interests include Causal Representation Learning and Out-of-Distribution(OOD) Robustness. I’m also a big fan of History👨🏻‍🏫, Jazz🎷 and strolling🚶.

🤓 Linkedin

👨🏻‍💻 Github

🏔️ Google Scholar


Here’s a more formal version of my CV.

📄 Curriculum Vitae

Work Experience

LG AI Research - Research Scientist Intern   (July 2023 ~ Present)

  • Research Scientist Intern at LG AI Research, Data Intelligence Lab
  • Research Field: Time-Series Foundation Models, Out-of-distribution generalization via loss landscape shifting, Application of Large Language Models for Time-Series Forecasting

Causality Lab, SNU GSDS - Research Assistant   (July 2021 ~ August 2023)

  • Research Assistant at Causality Lab, Seoul National University GSDS
  • Research Field: Leveraging causality for effective Out-of-Distribution Generalization

VAIV Company - Analyst Intern   (January 2019 ~ February 2019)

  • Analyst Intern at VAIV Company
  • NLP-based Market Sentiment Analysis


Doctor of Philosophy, New York University

  • Doctor of Computer Science   (September 2024 ~)

Master of Science, Seoul National University

  • Master of Data Science   (March 2021 ~ August 2023)
  • Advisor: Professor Sanghack Lee
  • Field of Research: Causality, Causal Representation Learning

Bachelor of Arts, Seoul National University

  • Information Science & Culture/ Western History   (March 2014 ~ February 2021)
  • I worked on the interdisciplinary research on merging computational linguistics to historical research.