Ping Yu is a Research Scientist at Meta FAIR in Seattle with nine years of experience in machine learning and natural language processing, holding a PhD in Computer Science from the University at Buffalo. Her work spans large-scale sparse and multilingual language models, document summarization for noisy domains, and applied RL/imitation learning for character animation, reflecting a blend of deep research and practical system-building across industry labs including Amazon, Tencent, PlayStation, and Meta. She has repeatedly moved ideas from research to evaluation on downstream tasks, notably developing sparse LM techniques during a FAIR internship and multilingual NLU components for Alexa. Based in Bellevue, WA, Ping combines strong academic pedigree and top-quartile undergraduate performance with experience solving domain-specific data challenges, making her adept at turning novel model architectures into robust, deployable solutions.
9 years of coding experience
2 years of employment as a software developer
Master of Science, Computer Engineering, Master of Science, Computer Engineering at University of Michigan
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at Buffalo
Bachelor of Engineering, Automation, Overall: 88.54/100, Junior: 92.64/100, top 2%, Bachelor of Engineering, Automation, Overall: 88.54/100, Junior: 92.64/100, top 2% at Central South University
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