Sibo Song
Researcher at Alibaba Group
Hangzhou City, Zhejiang, Singapore
Summary
👤
Senior🎓
Top SchoolSibo Song is a researcher and PhD candidate at the Singapore University of Technology and Design with 11 years of industry experience, currently contributing to multimodal research on the Qwen team at Alibaba Group. He combines rigorous academic training in Information Systems Technology and Design with an engineering foundation from Zhejiang University’s Control Science and Engineering department. Based in Hangzhou, he bridges long-term research perspectives and large-scale industrial R&D, focusing on multimodal models and applied AI. Notably, his career blends deep theoretical study with hands-on product-centric research at one of China’s largest tech companies, positioning him to translate novel multimodal ideas into production-ready solutions.
11 years of coding experience
Doctor of Philosophy (PhD), Information Systems Technology and Design, Doctor of Philosophy (PhD), Information Systems Technology and Design at Singapore University of Technology and DesignBachelor of Engineering (B.E.), Automation, Bachelor of Engineering (B.E.), Automation at Department of Control Science and Engineering, Zhejiang University
Chinese, English, Spanish
Github Skills (17)
data-science9
pytorch9
python9
machine-learning9
tensorflow9
deep-learning9
neural-network7
jax7
text-detection4
ocr4
convolutional-neural-networks3
cnn-model2
nlp2
natural-language-processing2
mask2
Programming languages (4)
Github contributions (5)
sibosutd/yael
Jul 2015 - Jul 2015
Contributions:25 commits, 19 pushes, 2 branches in 20 days
sibosutd/sutd-docs
Jul 2015 - Aug 2018
Documentation for SUTD
Contributions:1 PR, 8 pushes, 1 branch in 3 years
sutd
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