I’m an incoming CS Ph.D. candidate 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🚶.
CV
Here’s a more formal version of my CV.
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
Education
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.