Summary
Luyao Peng is a data scientist and NLP research engineer with nine years of experience bridging statistical rigor and applied language technologies. With a Ph.D. in Statistics and an M.A. in Linguistics, she has led scalable deep-and-wide NLP projects and productionized automated scoring systems like CRASE+ at assessment-focused organizations. Her background spans academic research, teaching statistics, and industry roles at ByteDance and ACT, where she combined EM-based missing-data techniques, feature engineering, and deep learning for robust model pipelines. She is comfortable moving models from research to product, including forensic detection and visualization work for assessment integrity. Based in the Los Angeles area, she brings a rare blend of quantitative measurement expertise and linguistic insight that drives interpretable, evaluation-conscious NLP solutions.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of California, Riverside
Master of Arts, Linguistics, Master of Arts, Linguistics at Beijing Language and Culture University