Happy Li is a data scientist with a PhD in Mathematics from Fudan University and nine years of industry experience building recommendation and classification systems. Based in Shanghai, he has led recommendation optimization at major video platforms including Youku & Tudou, delivering double-digit quarterly improvements, and currently drives algorithm research for MagicWindow and Merculet. His background spans production engineering and research—nearly a decade of development in PHP, Java, JavaScript and .NET, plus Hadoop, Spark, HBase and Lucene for large-scale data processing. He is versed in NLP tasks (segmentation, semantic classification, word vectors) and deep learning architectures such as CNNs and LSTMs, and has built graphical Hadoop scheduling and code-generation tools that bridge research and product. An MD-PhD-trained mathematician turned practitioner, he combines rigorous quantitative thinking with hands-on systems engineering to ship measurable improvements in recommendation quality.
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