Shaokai Ye
Machine Learning Researcher at Apple
Kloten, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolShaokai Ye is a machine learning researcher with 11 years of experience bridging neuroscience and AI, now working at Apple after completing a PhD at EPFL. His background spans academic research on DNN robustness and compression at Syracuse and EPFL, and industry roles in algorithm engineering and applied research at Alibaba and interdisciplinary institutes. He combines deep theoretical insight with practical engineering, having worked on adversarial robustness and model compression that improve deployable ML systems. Based in Zurich, he brings an international perspective shaped by US and European research environments and enterprise product teams. Shaokai’s work is driven by a two-way curiosity—using neuroscience to inspire AI architectures while applying computational models to better understand the brain. Colleagues note his ability to move ideas from papers to production-grade implementations.
11 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Engineering, Bachelor's Degree, Computer Engineering at Saint Louis UniversityMaster of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Syracuse University
English, Chinese
Github Skills (25)
toolbox10
deep-learning10
pose-estimation10
chatgpt9
model-compression9
benchmark8
udp8
robotics7
hourglass7
cpm6
mujoco6
mechanics6
physics6
action-recognition6
dynamics6
Programming languages (4)
Github contributions (5)
yeshaokai/Calibrator-Domain-Adaptation
Dec 2019 - Jul 2021
Release code for light-weight calibrator: a separable component for unsupervised domain adaptation
Contributions:10 commits, 9 pushes, 1 branch in 1 year 7 months
yeshaokai/mmpose_for_maDLC
Feb 2021 - Jan 2022
to reproduce results reported in maDLC
Contributions:30 commits, 1 PR, 1 push in 11 months
reproduce
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