Muyun Li is a Data Scientist with eight years of experience who builds AI-powered news and insight delivery systems at JPMorgan Chase, applying a strong foundation in scientific computing and mathematics. With an MS from NYU and a BS in Mathematics from The Chinese University of Hong Kong, she blends rigorous quantitative training with practical engineering skills honed across internships and research roles in finance, analytics, and neurodegenerative disease labs. She has real-world production exposure from a JPMorgan summer associate role and a data engineering internship at Amway, and she currently teaches as a former NYU teaching assistant, indicating both technical depth and the ability to communicate complex ideas. An active contributor to open-source localization efforts, she translated substantial p5.js examples into Chinese, improving access for non-English learners — a detail that highlights her attention to detail and commitment to community impact. Based in Jersey City, she brings cross-cultural experience between Hong Kong and the U.S. and a track record of turning data science research into usable products. Colleagues would describe her as methodical, curious, and skilled at bridging research-grade modeling with production delivery.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Scientific Computing, Master of Science - MS, Scientific Computing at New York University
Contributions:27 commits, 6 PRs, 15 comments in 28 days
Contributions summary:Muyun's primary contribution focused on translating the p5.js website examples and inline documentation into Chinese. This involved identifying and correcting typos, and translating the titles, descriptions, and code comments across multiple example files. The user's work encompasses a substantial portion of the image and math sections of the website, demonstrating a focus on providing localized resources.
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