Background & experience

Curriculum vitae.

Postdoctoral Researcher · Linköping University

View CV (PDF)

Appointments

Sep 2026–present

Postdoctoral Researcher

Linköping University

Trustworthy Systems Group (TSG)
Cybersecurity (CYBER)
Department of Computer and Information Science (IDA)

Working with Simin Nadjm-Tehrani as part of RESIST.

2019–2026

Graduate Researcher

Theory of Computation Lab, Yonsei University
Formal language theory, grammar-based NLP, and program analysis.

2017–2018

Research Intern

Theory of Computation Lab, Yonsei University
Automata, grammar classification, and natural language processing.

Education

2019–Feb 2026

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

2015–2019

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 list

Research projects

2023–2025

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.

2023–2024

Financial Data Analysis & Transformation

Bankware Global

Financial-data transformation for language-model reasoning and retrieval, with domain adaptation under limited expert data.

2022

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.

2019–2022

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.

2019–2022

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.

2019–2020

EEG Rule Extraction & Data Similarity Approximation

Yonsei University

Project proposal and similarity-algorithm research.

Teaching & service

2021–2023

Undergraduate research mentoring

Formal grammar and computational linguistics.

2019–2022

Teaching Assistant, Automata & Formal Languages

Yonsei University.

Since 2022

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