I’m interested in quantitative research methods and computational approaches to corpus linguistics. I use these skills to produce linguistically interpretable analyses of corpus data. In particular, I specialize in R and Python for data processing and analysis, with experience in:
Data processing: corpus building, web scraping, text cleaning, tokenization, sentence splitting, lemmatization, POS tagging
Feature extraction: n-grams, p-frames, keywords & keyness, concordances, grammatical features
Statistical modeling: LMMs, GLMMs, SEMs, parametric/nonparametric bootstrapping
Introduction to Longitudinal Structural Equation and Latent Growth Modeling, University of Maryland, 2025
Structural Equation Modeling: From Beginner to Intermediate, University of Maryland, 2025
Python Fundamental Programming Lecture Series, Seoul National University, 2021
AI-Integrated Education Summer School, Seoul National University, 2021
AI-Integrated Education Winter School, Seoul National Univertsity, 2021
Basic Workshop on Text Analysis for AI-based Language Research, Seoul National University, 2020
English Education Through Chatbot Workshop, Seoul National University, 2020