Research
Research Experience
National Institute for Mathematical Sciences (NIMS)
Full-time Research Intern (2026)
- Developing a machine learning-based tool for correlating auxiliary channels with transient noise in gravitational wave detectors.
- 🖼️ Presented poster at the JpGU-AGU 2026 meeting (Poster PDF)
- Conducting Newtonian noise analysis using superconducting gravimeters at the Yemi Gravity Observatory, an underground experimental facility located in Mt. Yemi, Gangwon-Do, South Korea.
Computational Astrophysics Lab, Ulsan National Institute of Science and Technology (UNIST)
Undergraduate Research Intern (2025)
- Developed unsupervised deep learning models for gravitational wave glitch classification using LIGO and KAGRA datasets.
- 🖼️ Presented poster at the KAGRA 2025 International Workshop (Poster PDF)
- 🎤 Oral presentation at KAS 2025 meeting (Slides)
- Built machine learning models using Gaia and SDSS datasets to estimate astrophysical distances from photometric and spectroscopic observations.
Human-Centered Artificial Intelligence Lab, Seoul National University
Undergraduate Research Intern (2024)
- Conducted a systematic literature review on deep learning applications for gravitational wave data analysis.
- Investigated multimodal large language models for interpreting and reasoning over gravitational wave spectrograms.
- Explored AI carbon-emission measurement and visualization tools through a systematic literature review.
- 🎤 Oral presentation & Published preceeding at HCI Korea 2025 (Paper)
Astrophysics Lab, Ewha Womans University
Undergraduate Research Intern (2023)
- Updated astrophysical S-factors from literatures and investigated nuclear reaction rates related to carbon fusion in massive stars.
- 📄 Published in JKAS (Paper)
- Trained in Linux-based research environments and Python-driven data analysis workflows for gravitational wave datasets.