cv

Ph.D. in Computer Science

Korea Advanced Institute of Science and Technology

• Test Generation using Generative Models
• Automated Debugging via Machine Learning
• Theoretic Analysis of Automated Debugging

Bachelor's Degree in Computer Science

Korea Advanced Institute of Science and Technology

Postdoctoral Researcher

KAIST

• Working on analyzing LLM-based techniques to improve reliability.
• Supervised by Prof. Shin Yoo.

Intern (Remote)

Microsoft Research Asia (Beijing)

• Worked on automated debugging via large language models.
• Supervised by Dr. Jian-guang Lou.

Intern

NAVER WEBTOON Corp.

• Worked on automatic cartoon colorization.
• Supervised by Prof. Jaegul Choo.

• Best Position Paper Award, from GI 2023
• Best Presentation Award, from GI 2023

• Best Short Paper Award, from KCSE 2022

• Excellent Teaching Assistant Award, from KAIST CS

• Method for coloring a target image, and device and computer program therefor, US Patent App. 17/464,899

• Method, apparatus, and computer program for completing painting of image, and method, apparatus, and computer program for training artificial neural network, US Patent 11887224
• Method and apparatus for operating benchmark system of software-debugging, Korean Patent App. 10-2024-0087100

• I enjoy watching movies, both old and new. I am fond of [12 Angry Men].

• I've traveled solo to Spain, Uzbekistan, and Georgia.

• I got the highest ever score on a Korean TV quiz show (in 2020).