Peng Zhou
Summary
Peng Zhou is a neuromorphic computing researcher and entrepreneur with eight years of experience bridging academic research and hardware startups; he co-founded LuxiTech and serves as CTO building brain-inspired large language models optimized for high cognition and low power. He holds a PhD in Electrical and Computer Engineering from UC Santa Cruz where his work on spiking neural networks, memristor-based hardware, and neuromorphic systems was co-supervised by leaders in the field. Peng has hands-on startup experience at SynSense and TetraMem, contributes to open-source SNN toolkits like snnTorch and Rockpool, and designs open-source neuromorphic chips—demonstrating rare fluency across algorithms, devices, and system integration. An active community leader (Telluride Workshop topic lead and awardee) and IEEE committee member, he pursues an interdisciplinary approach spanning ECE, neuroscience, and cognitive science while based in Shenzhen.
7 years of coding experience
Github Skills (20)
neuroscience10
spike10
spiking-neural-networks10
pytorch9
python9
machine-learning9
incremental-learning9
scene8
tensorflow7
deep-learning7
neural-network6
aws-lambda2
lambda2
anatomy2
autograd2
Programming languages (4)
Github contributions (5)
pengzhouzp/pengzhouzp.github.io
May 2022 - Feb 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:125 pushes, 4 branches in 2 years 10 months
templategithub-pages-templatemmistakesmistakesjekyll
pengzhouzp/snntorch
Jun 2021 - Aug 2024
Deep learning with spiking neural networks in Python
Contributions:46 pushes, 9 branches in 3 years 2 months
spiking-neural-networkspythondeep-learningneural-networksmachine-learning
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