KAIST
Master’s student, Graduate School of AI · Advisor: Eunho Yang
GPA: 4.3 / 4.3
Experience
My academic path, research collaborations, and contributions to the community.
Education
Mar. 2025 – Present
Aug. 2025 – Sep. 2026
Carnegie Mellon University
Visiting student, Language Technologies Institute · Co-advisors: Carolyn Rose and Sean Welleck
Mar. 2018 – Feb. 2024
KAIST
B.S., Electrical Engineering · Advisor: Young-Gyu Yoon
Ranked first in the class · Overall GPA: 4.23 / 4.3
Research experience
Mar. 2024 – Present
Machine Learning and Intelligence Lab, KAIST
Research assistant · Advisor: Eunho Yang
Peer review quality evaluation and compositional first-order logic translation for LLM reasoning.
Aug. 2025 – Sep. 2026
Teledia Lab & L3 Lab, CMU LTI
Visiting student · Co-advisors: Carolyn Rose and Sean Welleck
Mitigating reward hacking in rubric-based RL and learning critical thinking through argument reconstruction.
Jul. 2025 – Oct. 2026
Superintelligence Lab, LG AI Research
Research intern & external collaborator · Advisor: Moontae Lee
Training AI reviewers to assess the soundness of scientific papers.
Jun. 2023 – Aug. 2023
The Tearney Lab, Harvard Medical School
Research intern · Advisor: Guillermo J. Tearney
Super-resolution for dynamic micro-optical coherence tomography imaging.
Dec. 2022 – Feb. 2024
Artificial Intelligence & Machine Learning Lab, KAIST EE
Undergraduate researcher · Advisor: Chang D. Yoo
Preserving spectral information in time series data augmentation.
Apr. 2022 – Oct. 2022
Intelligent Communication Systems Lab, KAIST EE
Undergraduate researcher · Advisor: Junil Choi
Joint equalization and modulation classification with constellation networks.
Dec. 2020 – May 2021
Medical Solution Team, AITRICS
Research intern · Advisor: Jay Heo
Interpretable disease prediction across clinical data distributions.
Feb. 2020 – May 2023
Neuro-Instrumentation & Computational Analysis Lab, KAIST EE
Undergraduate researcher · Advisor: Young-Gyu Yoon
Three-dimensional virtual refocusing and separable Fourier convolution.
Talks & seminars
Nov. 2026
Training AI Reviewers
LG AI Research, Korea · Invited speaker
Sep. 2026
Mitigating Reward Hacking in Rubric-based RL
Teledia Lab, CMU LTI, USA · Seminar speaker
Feb. 2026
Improving LLM’s Critical Thinking Ability
L3 Lab, CMU LTI, USA · Seminar speaker
Oct. 2025
Logical Reasoning with LLM
Teledia Lab, CMU LTI, USA · Seminar speaker
Apr. 2025
Logical Reasoning with LLM
Bilateral AI, Austria · Invited speaker
Selected honors
2023
Leadership Award
College of Engineering
2022
Third place, FameLab Korea
Ministry of Science and ICT
2022
KAIST Research Highlights
KAIST
2021
MICCAI Young Scientist Award
The MICCAI Society
Teaching & service
2019 – 2020
CS101: Introduction to Programming
Teaching assistant, Fall 2020 · Tutor, Spring and Fall 2019 and Spring 2020
Nov. 2022 – Present
Science communicator
Korea Foundation for the Advancement of Science and Creativity
Feb. 2019 – Dec. 2020
Student president
School of Electrical Engineering, KAIST
Mar. 2018 – Aug. 2019
Organizing committee
International Conference for the Integration of Science, Technology and Society (ICISTS), KAIST
Peer review
Conference reviewing
ACL ARR (May and August 2026); COLM (2026); NeurIPS (2026); ICML (2026); ICLR (2026, 2027); AAAI (2026); ICASSP (2024, 2025); GLOBECOM (2022, 2023).