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.

Leiden, the Netherlands · Dutch citizen · hello@aronvandepol.com

Positions

  • 2022 to present

    PhD Candidate, Digital Humanities and Korean Studies

    Leiden University, LCDH and LIAS

  • Current

    Researcher, Leiden HumAN

    Humanities and AI Network, Leiden University

  • Current

    Managing Editor, Korean Histories

    Editorial and production coordination

  • Current

    Board Member, Research Planning (연구기획 이사), KADH

    Korean Association for Digital Humanities (한국디지털인문학협의회)

  • June 2024 to March 2025

    Junior Research Fellow, Kyujanggak Institute for Korean Studies

    Seoul National University

  • 2026 to present

    Web Developer, AKSE

    Full stack · Association for Korean Studies in Europe

Education

  • 2022 to present

    PhD, Digital Humanities and Korean Studies

    Leiden University

  • 2021 to 2022

    M.A. East Asian Studies, Korea specialisation

    Leiden University

  • February to August 2020

    Exchange student, Sogang University

    Seoul · Korean to Sogang Level 5, coursework in digital humanities and Korean historical research

  • 2019 to 2021

    B.A. Korean Studies

    Leiden University · final grade 8.2

    Thesis: Quantifying the left. Examining the development of socialist thought inside the Korean colonial magazine Kaebyŏk.

Grants and fellowships

  • 2026

    Overseas Korean Studies Grant

    Academy of Korean Studies (한국학중앙연구원) · KS-2026-R-094 · with Steven Denney, PI

  • 2024 to 2025

    Junior Research Fellowship

    Kyujanggak Institute for Korean Studies, Seoul National University

Publications and talks

  • Publications

    Four journal articles, one published, one forthcoming, one under review, one in preparation, with DOI, code and citations on the page

  • Talks

    Conference presentations, invited lectures and workshops since 2021, with slides where they exist

Teaching and guest lectures

  • January 2027

    Department of Korean Studies, University of Vienna

    Invited lecturer

  • November 2026

    Istituto Italiano di Studi Orientali, Sapienza University of Rome

    Invited lecturer · PhD programme

  • 2023 to 2024

    Deep Learning for the Humanities

    Designer and instructor · workshop series, Leiden University

  • 2023, 2025, 2026

    AI and the Humanities

    Guest lecturer · Leiden University

  • February and November 2025

    Department of Korean History, Seoul National University

    Guest lecturer · The Visual Turn, and Ways of Seeing

  • 2022, two editions, and 2025

    Special Topics in Digital Humanities

    Teaching assistant · Leiden University

  • 2023

    NLP for the Humanities

    Teaching assistant · Leiden University

  • 2021 to 2022

    Hacking the Humanities

    Teaching assistant · Leiden University · an introduction to Python and text mining

Other work

  • 2021 to present

    Student Assistant, Leiden University Centre for Digital Humanities

    introductory Python and digital text analysis courses, Digital Humanities Lab support for students and staff

  • 2019 to 2021

    Student Mentor, Department of Korean Studies, Leiden University

    a cohort of about 25 students, study methods, planning and progression

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, C1 (CEFR, all skills)