Ph.D. in Applied Linguistics, Georgia State University
I am a computational linguist and corpus linguistics researcher. My work sits at the intersection of language, data, and human behavior: I use corpus methods, machine learning, and explainable AI to study how language reflects cognition, emotion, and learning.
My dissertation, “Language as a Reflection of Human Minds: Machine Learning-Based Corpus Analysis of Linguistic Patterns in Online Mental Health Communities,” combined machine learning, topic modeling, and corpus-linguistic approaches to analyze depression-related language at scale. That line of work has been published in Corpus-based Studies across Humanities and covered by NBC 11Alive, the Georgia State University Newsroom, and Phys.org, among others.
Beyond mental health language, I study second-language development with learner corpora, advise on NLP methods for legal-document interpretation, and build generative-AI systems that support recently immigrated English learners. I have taught university courses in linguistics and Korean, and I work in Korean, English, and French.
Georgia State University, Atlanta, GA
Dissertation: Language as a Reflection of Human Minds: Machine Learning-Based Corpus Analysis of Linguistic Patterns in Online Mental Health Communities
Committee: Drs. Ute Römer-Barron, YouJin Kim, Daniel Dixon (Georgia State University), and Munmun De Choudhury (Georgia Institute of Technology)
Specialization: Computational Linguistics and Corpus Linguistics
University of Hawaiʻi at Mānoa, Honolulu, HI
Graduation Paper: Computational Analysis of Cohesion in EFL Writing: A Comparison between L1 and EFL Writers
Specialization: Computational Linguistics and Language Education
Hankuk University of Foreign Studies, Seoul, Korea · Summa Cum Laude (both degrees)
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