Yifan Yang is an R&D Director based in Shanghai with 11 years of experience building and operationalizing statistical and machine learning solutions across finance, anti-fraud, and e-commerce domains. He holds a Ph.D. in Statistics and has led algorithm development for anti-spam and adversarial AI at Alibaba, and AML scenario modeling using reinforcement methods and ensemble techniques at Bank of America. At his current company he hires and scales teams of data scientists and algorithm engineers to deliver business-facing, production-grade systems. His background spans high-performance statistical software (R/C++ with OpenMP), Python GUIs for analytics, and cross-functional product delivery in regulated environments. Colleagues describe him as a hands-on research leader who bridges advanced modeling with robust, auditable production pipelines.
11 years of coding experience
3 years of employment as a software developer
M.Sc. in Statistics, Statistics and Biostatistics, M.Sc. in Statistics, Statistics and Biostatistics at University of Science and Technology of China
Ph.D, Statistics, Ph.D, Statistics at University of Kentucky
ONCache: A Cache-Based Low-Overhead Container Overlay Network
Contributions:2 PRs in 4 months
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