Background & experience
Curriculum vitae.
Postdoctoral Researcher · Linköping University
Appointments
Postdoctoral Researcher
Trustworthy Systems Group (TSG)
Cybersecurity (CYBER)
Department of Computer and Information Science (IDA)
Working with Simin Nadjm-Tehrani as part of RESIST.
Graduate Researcher
Theory of Computation Lab, Yonsei University
Formal language theory, grammar-based NLP, and program analysis.
Research Intern
Theory of Computation Lab, Yonsei University
Automata, grammar classification, and natural language processing.
Education
Ph.D. in Computer Science
Yonsei University, Seoul, Republic of Korea
Advisor: Yo-Sub Han
Dissertation: Symbolic Techniques for Deep Learning in Natural Language Processing and Program Analysis
Bachelor’s Degree in Computer Science
Yonsei University, Seoul, Republic of Korea
Research
I study how symbolic methods and language structure can make AI systems more reliable, verifiable, and useful. My work connects formal language theory with modern AI: evaluating what language models can reliably do, checking the correctness of their outputs, and improving how they reason about programs.
Complete publication listResearch projects
Human–AI Programming Platform Research
Ministry of Science and ICT, Republic of Korea
Human-in-the-loop workflows for understanding programming intent and generating reliable source code.
Financial Data Analysis & Transformation
Bankware Global
Financial-data transformation for language-model reasoning and retrieval, with domain adaptation under limited expert data.
5th AI Grand Challenge
Ministry of Science and ICT, Republic of Korea
Deep learning for mathematical problem solving, including equation-based training-data generation and participation in the competition finals.
Human–AI Collaborative Programming Platform
Ministry of Science and ICT, Republic of Korea
Neuro-symbolic and semi-supervised methods for code summarization and complexity analysis.
Automated Malware Pattern Rule-set Generation
Ministry of Science and ICT, Republic of Korea
Learning malware patterns and studying rule-set compression and synthesis for automated detection.
EEG Rule Extraction & Data Similarity Approximation
Yonsei University
Project proposal and similarity-algorithm research.
Teaching & service
Undergraduate research mentoring
Formal grammar and computational linguistics.
Teaching Assistant, Automata & Formal Languages
Yonsei University.
Reviewing & program committees
Reviewer / PC member for ACL Rolling Review and EMNLP; service since 2022.
Technical background
- Programming
- Python, C/C++, Java
- ML / NLP
- PyTorch, TensorFlow, Hugging Face Transformers
- Foundations
- Automata, formal grammars, decidability, formal language hierarchies
- Tools
- LaTeX, Git, Linux / Unix