Ching-yi Lin
Postdoctoral Associate
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolChing-yi Lin is a postdoctoral researcher specializing in energy-efficient AI hardware, bridging model compression and edge inference with 11 years of experience across academia and industry. At University of Maryland she designed a low-bit systolic array on FPGA enabling 3-bit Vision Transformer training, and during her PhD at Carnegie Mellon she developed an ASIC capacitance sensor for cancer cell assays. Her background blends deep hardware design (including a digital circuit design internship at Apple) with systems-level ML pragmatism, informed by competitive fellowships and dean’s recognition. Comfortable moving between FPGA prototyping and ASIC development, she focuses on making advanced ML models practical for constrained devices.
10 years of coding experience
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Carnegie Mellon UniversityBachelor of Science - BS Electrical Engineering, Bachelor of Science - BS Electrical Engineering at National Tsing Hua UniversityGithub contributions (5)
purplebleed/hljtnbdm
Sep 2015 - Mar 2016
Contributions:45 pushes in 5 months
purplebleed/IVINDEX
Aug 2016 - Aug 2016
Contributions:4 PRs, 11 pushes, 3 branches in 1 day
initialcommit
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