Ke Li is a Senior GPU Algorithm Engineer based in California with a Ph.D. in Electrical Engineering and eight years of experience applying high-performance computing to computational medical imaging, particularly PET. He brings five years of hands-on CUDA/GPU expertise honed at NVIDIA and in production at Pony.ai, combining deep algorithmic knowledge with performance optimization for real-world systems. His background spans molecular dynamics, deep learning, and Python tooling—an interdisciplinary blend that helps translate complex scientific models into efficient GPU implementations. Notably, his training in chemistry and experience across academia and industry enable him to bridge domain science and low-level compute engineering to accelerate research and product deployment.
8 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at Chengdu No.7 Middle School
Bachelor of Science (BS), Electronic and Information Science and Technology, Bachelor of Science (BS), Electronic and Information Science and Technology at Fudan University
The University of Hong Kong (HKU)
Doctor of Philosophy (Ph.D.), Electrical and System Engineering, Doctor of Philosophy (Ph.D.), Electrical and System Engineering at Washington University in St. Louis
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