William Won is a research associate (postdoc) at AMD Research and Advanced Development with nine years of experience bridging computer architecture, systems, and algorithms for large-scale machine learning. Trained at Georgia Tech under Dr. Tushar Krishna, he focuses on software-hardware co-optimizations for collective communications, GPU networking, and scalable training and inference. His background spans industry research roles at AMD and Intel and multi-year academic work simulating distributed ML architectures, giving him both practical and theoretical fluency. Based in Bellevue, WA, he combines deep simulation and algorithmic insight with hands-on implementation experience from internships and part-time research roles, making him adept at turning architecture-level ideas into performant system prototypes. An under-the-radar strength is his sustained focus on collective communication primitives—an area that quietly underpins many successful large-scale ML deployments.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS Computer Science and Engineering, Bachelor of Science - BS Computer Science and Engineering at Seoul National University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Georgia Institute of Technology
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