Hi! I'm Eric, a first-year PhD student in Computer Science at Northeastern University advised by Terra Blevins and David Smith.
My research is in multilingual Natural Language Processing (NLP). Language translation is an interpretive act, and as AI is increasingly being trusted for that interpretation, I'm passionate about ensuring translations are faithful and useful to humans. More broadly, as language model-based tools increasingly spread through society, I am interested in how we can make sure their benefits extend beyond a handful of languages. Specifically, I focus on:
- Using linguistic relationships between languages to inform the development of multilingual NLP systems.
- Using human-centered evaluation to address the gaps between the perceived and actual performance of these systems.
In 2026 I graduated from the University of Maryland with bachelor degrees in Computer Science and Chinese, where I was advised by Marine Carpuat and Andrew Schonebaum.
A full description of my education is in my CV.
Publications
- Synthetic Slang Generation for Benchmarking Machine Translation. Under review, August 2026.
- Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations? COLM 2026, March 2026.
- Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation. ALP @ NAACL 2025, May 2025. Paper PDF
Last Updated August 10, 2026