Yanhong Yang is an applied scientist at Amazon with a decade of experience translating advanced mathematics and quantitative finance into production-ready software. With a PhD in mathematics from Columbia and an MS in Computer Science from NYU, she moved from research on algebraic geometry to market risk modeling and quantitative development before pivoting to large-scale machine learning and applied research at Amazon. Her background blends rigorous theoretical training (Higgs bundles research) with practical Python engineering for trading systems and production ML pipelines. Based in New York, she is adept at bridging research and engineering teams to deploy robust, data-driven solutions. A detail not obvious from titles: her career shows a consistent pattern of converting deep academic insight into high-impact, production systems.
10 years of coding experience
9 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at New York University
Bachelor of Science (BS) mathematics, Bachelor of Science (BS) mathematics at University of Science and Technology of China
PhD mathematics, PhD mathematics at Columbia University
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