Daniel Stanley is a mixed-signal modeling and verification engineer with 11 years of experience, currently applying his expertise at Apple after completing graduate work in integrated circuits at Stanford. He brings a rare blend of academic research and industry impact—turning a PhD “fixture” modeling tool into production-applicable modeling and simulator interfaces at Qualcomm and providing fast functional analog block models. His background spans ASIC power-modeling at NVIDIA, autonomous-vehicle vision data pipelines at Princeton, and hands-on hardware/software integration for robotics, giving him a broad systems perspective across analog, digital, and software domains. Based in Palo Alto and active with StanfordAHA, he combines deep circuit-level insight with practical tooling to accelerate design feedback and verification cycles.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science and Engineering, Electrical and Electronics Engineering, Bachelor of Science and Engineering, Electrical and Electronics Engineering at Princeton University
Library of templates for analog blocks and strategies to model them in a digital environment
Contributions:388 commits, 65 PRs, 356 pushes in 3 years 4 months
analogtemplate
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