Ang Li is a software engineer and researcher with eight years of experience bridging high-performance computing research and production software. He holds a PhD focused on GPU performance modeling and optimization and has progressed from postdoctoral work to senior and chief computer scientist roles at Pacific Northwest National Laboratory before moving to Unconventional AI. Concurrently an adjunct associate professor at the University of Washington, he combines academic rigor with hands-on engineering to deliver optimized GPU and multicore solutions for scientific and enterprise workloads. His background includes accelerating medical imaging and porting customer applications to GPU platforms, reflecting a practical focus on performance portability. Based in Richland, Washington, he is comfortable leading both research agendas and engineering teams, with a proven track record of turning deep performance analysis into deployable software.
8 years of coding experience
11 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Zhejiang University
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Eindhoven University of Technology
Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at National University of Singapore
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