Zonghao Li
Analog Design, Staff Engineer at Synopsys Inc
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolZonghao Li is an analog design staff engineer and PhD candidate in electrical and computer engineering at the University of Toronto, with eight years of experience building multi-Gbps NRZ and PAM4 SerDes IP. He combines academic research—applying machine learning to high-speed analog IC design and system-level SerDes modeling—with hands-on industry practice at Synopsys, bridging theory and production silicon. Trained at UBC and McGill, he brings a strong foundation in analog systems and a knack for leveraging data-driven methods to accelerate circuit design and modeling. Colleagues appreciate that he moves fluidly between deep technical research and pragmatic IP development, often finding novel ML-driven shortcuts that reduce iteration time on high-speed links.
8 years of coding experience
Bachelor of Applied Science - BASc (Distinction), Electrical and Electronics Engineering, Bachelor of Applied Science - BASc (Distinction), Electrical and Electronics Engineering at The University of British ColumbiaDoctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of TorontoMaster of Engineering - MEng (thesis-based), Electrical and Electronics Engineering, Master of Engineering - MEng (thesis-based), Electrical and Electronics Engineering at McGill University
Chinese, English
Github Skills (51)
geometric-deep-learning9
ose9
pytorch9
graph9
deep-learning9
graph-neural-network9
graph-convolutional-networks9
ieee8
electrical-engineering8
pdk7
gymnasium7
neural-network6
asic6
reinforcement-learning6
installer5
Programming languages (7)
Github contributions (5)
ChrisZonghaoLi/motion_tracking_using_magnetometer
Jan 2018 - Jun 2022
Contributions:28 commits, 25 pushes, 1 branch in 4 years 6 months
ChrisZonghaoLi/pystateye
Jun 2022 - Nov 2022
Contributions:32 commits, 38 pushes, 1 branch in 5 months
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