Fang Fang is a Senior Machine Learning Engineer in San Francisco with a decade of experience delivering production-ready ML solutions. She currently leads model development at Affirm, designing and deploying data-driven fintech models and collaborating with product and engineering teams to move ideas into production. Her background spans decision science consulting at The Walt Disney Company and research roles at Yale and Peking University, where she worked on predictive modeling for media, genomics, and disease risk. She holds a Master’s in Biostatistics from Yale and dual Bachelor’s degrees in Biological Science and Mathematics from Peking University. Her work blends deep statistical expertise with practical engineering, including Bayesian risk methods and end-to-end ML pipelines.
10 years of coding experience
5 years of employment as a software developer
Bachelor's Degree, Biological Science, Bachelor's Degree, Biological Science at Peking University
Master's Degree, Biostatistics, Master's Degree, Biostatistics at Yale University
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