Xiaozhe Yao
Doctoral Student at Department of Computer Science (D-INFK), ETH Zürich
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolXiaozhe Yao is a doctoral student in computer science at ETH Zürich with 11 years of experience bridging research and applied data science. He has blended academic rigor with industry impact through roles at Meta (research intern), Together (research consultant), and a data scientist position at the Shenzhen Institute of Advanced Technology. His background spans founding a startup, innovation fellowship at ETH, and teaching undergraduate data science—demonstrating an ability to translate complex theory into practical systems and pedagogy. Xiaozhe holds a summa cum laude Master’s in Data Science from the University of Zurich and is pursuing a PhD focused on cutting-edge CS problems. Based in Zurich, he brings a global perspective from studies and work across Switzerland and China and a track record of collaborating across academia, startups, and large tech. Beyond publications and internships, he often operates at the intersection of research, product, and mentoring, turning experimental ideas into deployable tools.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Data Science, 5.6 Summa Cum Laude, Master's degree, Data Science, 5.6 Summa Cum Laude at University of ZurichDoctor's Degree, Computer Science, Doctor's Degree, Computer Science at Department of Computer Science (D-INFK), ETH ZürichBachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at 深圳大学
Chinese, English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
json-schema10
model-management10
neural-network10
computer-vision10
json10
data-science10
sqlalchemy10
deep-neural-networks10
opencv10
python10
ml10
tensorflow10
counting10
machine-learning10
image-processing10
Programming languages (16)
Github contributions (5)
aidmodels/Face_Utility
Sep 2018 - Jul 2021
An example Computer Vision Package handling facial features.
Contributions:4 PRs, 16 pushes, 3 branches in 2 years 11 months
facial-featurespythonvisionface-recognitioncomputer-vision
autoai-org/Tinyml
Jul 2020 - Jul 2021
The Neural Network Framework Implemented in Pure Python.
Contributions:85 commits, 71 pushes in 1 year
autoencoderpythondeep-learningneural-networksmachine-learning
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