Di-wei Huang is a research scientist based in Seattle with 12 years of experience applying neural-based machine learning to large-scale recommender and ranking systems. At Meta since 2017, he combines strong software engineering and data-structure skills with research rigor to ship production ML solutions for billion-user systems. He holds a PhD in computer science and brings multidisciplinary expertise spanning neural networks, robotics, human-robot interaction, and distributed systems. Known for leading data-driven projects, he bridges academic research and applied engineering to tackle both model innovation and system-level scaling challenges. An under-the-radar strength is his comfort moving between low-level implementation details and high-level experimental design, which accelerates deployment of robust ML features in production.
12 years of coding experience
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Maryland
Contributions:109 commits, 80 pushes, 2 branches in 4 months
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