Lili Wang is a data scientist and quantitative analyst with nine years of experience applying advanced statistical methods to high-stakes problems in payments risk and trust & safety at Google and YouTube. She holds a PhD in Biostatistics from the University of Michigan and has a strong background in experimental design, platform-building for risk evaluation, and simulation-free group-sequential methods developed during an oncology internship. Comfortable collaborating with clinicians, economists, and engineers, she translates complex domain questions into validated statistical solutions and production-ready analytics. Based in Sunnyvale, Lili blends rigorous academic training with hands-on product impact, often surfacing subtle bias and error modes before they affect users.
9 years of coding experience
7 years of employment as a software developer
High School Diploma, Science, High School Diploma, Science at Hangzhou No.2 High School
Master's degree, Molecular Cellular and Developmental Biology, Master's degree, Molecular Cellular and Developmental Biology at University of Michigan
Contributions:40 commits, 68 PRs, 94 pushes in 1 year 8 months
extendedmeta-analysisstate-spacemodelicasir
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