Curriculum vitae
Positions, education, grants, teaching, and the methods and languages I work in.
Profile
I use computer vision, text mining and large language models to study colonial Korean print culture at scale. My dissertation takes two connected domains: typographic variation and printshop practice, and the visual culture of mass advertising in colonial-era newspapers. With Steven Denney, I also study how Korean national identity is constructed and transmitted through state-authored history textbooks, with computational text analysis.
Positions
- PhD Candidate, Digital Humanities and Korean Studies
- Researcher, Leiden HumAN
- Managing Editor, Korean Histories
- Board Member, Research Planning (연구기획 이사), KADH
- Junior Research Fellow, Kyujanggak Institute for Korean Studies
- Web Developer, AKSE
Education
- PhD, Digital Humanities and Korean Studies
- M.A. East Asian Studies, Korea specialisation
- Exchange student, Sogang University
- B.A. Korean StudiesThesis: Quantifying the left. Examining the development of socialist thought inside the Korean colonial magazine Kaebyŏk.
Grants and fellowships
- Overseas Korean Studies Grant
- Junior Research Fellowship
Publications and talks
Teaching and guest lectures
- Department of Korean History, Seoul National University
Other work
- Student Assistant, Leiden University Centre for Digital Humanities
- Student Mentor, Department of Korean Studies, Leiden University
Methods, skills and languages
Methods
- Computer vision and visual feature extraction
- Text mining and corpus analysis
- Large language models for historical annotation
- Historical dataset construction and curation
Tools
- PyTorch, NumPy, Pandas, OpenCV
- Matplotlib, Plotly, Seaborn, Tableau, QGIS
- Python, Git, Django, NLP workflows, Unix administration
Languages
- Dutch, native
- English, C2 (CEFR, all skills)
- Korean, advanced (Sogang Level 5)