Yuxiao Zhou
Research Scientist at Google
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolYuxiao Zhou is a research scientist based in Zurich with nine years of experience at the intersection of machine learning research and engineering, currently working at Google after a student researcher stint there. He holds a PhD pursuit in Computer Science from ETH Zürich and earned both his MS and BE in Computer Software Engineering from Tsinghua University, blending rigorous academic training with industry impact. His background includes applied ML roles at Apple and research visits at Max Planck Institute and Brown University, reflecting a pattern of moving ideas from lab to product. Colleagues know him for bridging deep research thinking with practical system-building, and for a curiosity that leads him to take visiting collaborations internationally. Though his GitHub footprint is minimal in public summaries, his career trajectory suggests strong competence in productionizing research-grade ML systems.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH ZürichMaster of Science - MS, Computer Software Engineering, Master of Science - MS, Computer Software Engineering at Tsinghua University
Github Skills (47)
motion-tracking10
hand-tracking10
animation10
pose10
plug10
smpl-model10
mocap10
camera10
smil10
computer-graphics10
optical-flow10
animate10
motion-capture10
computer-vision10
skeleton10
Programming languages (3)
Github contributions (5)
CalciferZh/SMPL
Feb 2018 - Mar 2022
NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.
Contributions:1 release, 52 commits, 6 PRs in 4 years 1 month
pytorchinfantdeep-learningnumpysmil
CalciferZh/minimal-hand
Mar 2020 - Jan 2022
A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run.
Contributions:1 release, 21 commits, 8 PRs in 1 year 10 months
hand-motion-capturedeep-learningcameraoptical-flowhand-tracking
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