Summary
Yuguang Duan is a research scientist and machine learning engineer blending cognitive psychology, psycholinguistics, and applied NLP with eight years of research and industry experience. Currently on the Instagram Feed Ranking team at Meta, he brings a rare combination of PhD-level expertise in language learning and individual differences together with MS degrees in both Computer Science and Psychology. His work spans building LLM-based psychological applications, recommender systems, and optimized ML pipelines, informed by prior internships at Meta, Flourish Science, and DataChat. Trained at Peking University and UW–Madison, he has examined fundamentals of word informativeness with n-gram and LSTM models and translates those insights into scalable product features. Colleagues describe him as someone who moves fluidly between experimental design and production engineering, often surfacing subtle cognitive signals that improve personalization.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Psychology and Psycholinguistics, Doctor of Philosophy - PhD, Cognitive Psychology and Psycholinguistics at University of Wisconsin-Madison
Bachelor of Applied and Computational Linguistics, Natural Language Processing, Bachelor of Applied and Computational Linguistics, Natural Language Processing at Peking University