Kuo Liu is a director-level machine learning leader with a PhD in applied mathematics and over a decade of hands-on experience turning advanced algorithms into commercial products. She has built and scaled high-performing data science teams at analytics and fraud-prevention leaders, owning technical vision, product strategy, and cross-functional delivery for enterprise accounts. Her work spans from research-grade numerical methods and Monte Carlo PDEs to production ML—shipping optimization, fraud detection, and interview-AI systems while staying deeply involved in architecture and code. Kuo combines rigorous quantitative training with practical people development, growing teams rapidly and achieving exceptional engagement and promotion outcomes. Based in Boulder, she is equally comfortable diving into C++/Python implementation details or negotiating AI risk and privacy with legal and InfoSec stakeholders.
11 years of coding experience
14 years of employment as a software developer
Chengdu Shude High School
BS, Mathematics and Applied Mathematics, BS, Mathematics and Applied Mathematics at University of Science and Technology of China
Ph.D, Applied Mathematics, 4.0/4.0, Ph.D, Applied Mathematics, 4.0/4.0 at University of Colorado at Boulder
Contributions:10 commits, 6 pushes, 2 branches in 11 months
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Kuo Liu - Director Of Machine Learning Research at Frontera