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Resume (English only)
Academic Achievements
In 2025, multiple papers were accepted to conferences such as EMNLP and ACL, including 'Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation' and 'Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations'. A proposal titled 'Empowering Reliable Use of Machine Translation through Q&A Feedback' was also selected for a talk at AMTA 2025 Virtual.
Research Experience
Works in the Computational Linguistics and Information Processing (CLIP) Lab, focusing on how multilingual AI systems can act as equitable mediators and designing workflows to help people reliably interpret and act on imperfect model outputs.
Education
Degree: B.S. in Statistics + Computer Science; Institution: Korea University; Time: During undergraduate studies; Advisors: Prof. Minjoon Seo (Language & Knowledge Lab) and Prof. Jaegul Choo (Data and Visual Analytics Lab). Currently a Ph.D. student in Computer Science at the University of Maryland, advised by Prof. Marine Carpuat.
Background
Research Interests: Enabling trustworthy AI-mediated communication across languages and cultures; Field: Computer Science; Background: Third-year Ph.D. student in Computer Science at the University of Maryland, advised by Prof. Marine Carpuat.
Miscellany
Hobbies include cooking, baking, and learning new languages. Currently learning French and Chinese. Lived in Beijing, China for 7 years and Prague, Czech Republic for 4 years.