Summary
Sophia Chan is a computational linguist and language technologist with eight years of experience bridging NLP research and applied language services, from building revision-detection tools for essay drafts to production AI engineering at ETS. With an academic foundation from the University of Washington (MS in Computational Linguistics) and a BSc in Linguistics with a CS minor, she combines strong linguistic insight with practical software skills in Python and cloud pipelines. Her work spans clinical and testing domains—updating genomic data pipelines, improving speech assessment tools, and interpreting in medical settings—reflecting a rare blend of technical, analytic, and multilingual communication strengths (Mandarin/English). Actively pursuing roles that diversify NLP systems, she brings hands-on experience deploying models and tooling, plus an interpreter’s attention to detail that improves model fairness and real-world usability.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computational Linguistics, Master of Science - MS Computational Linguistics at University of Washington
BSc in Linguistics Minor in Computer Science, BSc in Linguistics Minor in Computer Science at University of Victoria
Medical Interpretation and Translation Certificate (Mandarin/English), Medical Interpretation and Translation Certificate (Mandarin/English) at Simon Fraser University
Chinese, Chinese, taishanese