Chang Gao
Tenured Assistant Professor at ESSERC
Delft, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolChang Gao is a tenured Assistant Professor at TU Delft leading the Efficient circuits & systems for Machine Intelligence (EMI) lab, where he designs energy-efficient digital AI hardware for edge applications spanning ultrafast communication, video/audio processing, robotics, and biomedical devices. With a PhD from the University of Zurich/ETH Zürich and an MSc from Imperial College London, he applies neuromorphic principles to bridge ANNs and SNNs, delivering massive acceleration with competitive accuracy on real-world tasks. A recognized innovator—recipient of the Misha Mahowald Prize, Mahowald Early Career Award, a Marie Skłodowska-Curie fellowship, and MIT Technology Review’s Innovator Under 35—he has also earned best-paper honors at AICAS. Over a decade of experience combines deep circuit design expertise with system-level AI research, and his work uniquely targets practical edge constraints rather than abstract benchmarks.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS Analog and Digital Integrated Circuit Design, Master of Science - MS Analog and Digital Integrated Circuit Design at Imperial College LondonBachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at Xi'an Jiaotong-Liverpool UniversityBachelor of Engineering - BE Electrical and Electronics Engineering, Bachelor of Engineering - BE Electrical and Electronics Engineering at University of LiverpoolDoctor of Philosophy - PhD International Ph.D. Program in Neuroscience, Doctor of Philosophy - PhD International Ph.D. Program in Neuroscience at University of ZurichDoctor of Philosophy - PhD International Ph.D. Program in Neuroscience, Doctor of Philosophy - PhD International Ph.D. Program in Neuroscience at ETH Zürich
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
python10
digital-signal-processing9
machine-learning9
gpu9
deep-learning9
gpu-acceleration8
tensorflow8
numpy8
neural-network8
sdn7
tensor7
acceleration7
autograd7
earth7
ethernet7
Programming languages (5)
Github contributions (5)
gaochangw/DeltaRNN
Jan 2019 - Mar 2023
Contributions:10 commits, 6 pushes in 4 years 2 months
gaochangw/gaochangw.github.io
Sep 2017 - Aug 2022
Contributions:48 pushes, 1 branch in 4 years 11 months
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