Lanfeng Pan is a senior applied science manager at Amazon with 14 years of experience building AI-driven systems for fraud prevention and decisioning. Holding a PhD in Statistics, he leads cross-disciplinary teams of researchers and engineers to develop agentic AI solutions that move models from research into production at scale. His career blends deep statistical rigor—from survival and heterogeneity modeling in academic work—to applied machine learning and large-scale fraud detection in industry. Known for bridging theory and engineering, he has progressed through individual contributor and management roles at Amazon, bringing practical expertise in experiment design, FDR control, and interpretable modeling. Based in the United States, he combines a strong academic foundation with a track record of shipping robust, production-ready ML systems.
14 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at Iowa State University
Master’s Degree Statistics, Master’s Degree Statistics at Renmin University of China
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Lanfeng Pan - Sr. Applied Science Manager at Amazon