Qiuyang Yin is a software engineer with 10 years of experience applying statistical rigor and machine learning to ad systems and large-scale product problems, currently building ML for YouTube Ads at Google. Trained in Automation & Statistics at Tsinghua and Data Science at Harvard, he blends classical inference and optimization with pragmatic production ML work across TikTok and large internet platforms. His background spans CVR calibration, cold-start optimization, personalized ad load, and web performance—skills that bridge model development, deployment, and business metrics. Early research roles show deep experience in NLP for Chinese electronic health records and traffic safety analytics, including significant performance optimizations on large remote compute jobs. He has taught stochastic methods at Harvard, demonstrating an ability to explain complex inference and optimization concepts to practitioners. Based in California, he combines academic depth with product-focused impact on ad quality and user experience.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at Harvard University
Bachelor of Engineering - BE Automation, Bachelor of Engineering - BE Automation at Tsinghua University
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