Chen Wu
Principal Applied Scientist at Microsoft
Changning District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolChen Wu is a Principal Applied Scientist with over a decade of experience bridging NLP, information retrieval, multimodal ML, and deep learning for software engineering tasks. He has led research and product-impacting projects at Microsoft, Tencent YouTu Lab, Alibaba DAMO Academy, and Baidu, focusing on large-scale vision-language pretraining, semantic code search, code translation, patch generation, and recommender/search systems. Known for translating cutting-edge research into production-ready models, he combines academic rigor from a PhD in Computer Science with hands-on engineering across cloud-scale teams. Based in Shanghai, he brings a rare mix of industry leadership and deep technical authorship on topics spanning self-supervised pretraining to performance bug detection. Colleagues describe his work ethos as “more is different,” reflecting a systems-level view where small modeling choices compound into large real-world gains.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Tongji University
Github Skills (31)
representation-learning10
self-attention10
searching9
datasets9
open-data9
nlp8
nlp-machine-learning8
natural-language-processing8
face8
code-search7
machine-learning7
semantic7
deep-learning7
python7
tensorflow6
Programming languages (5)
Github contributions (5)
overwindows/ArXiv_Compass
Feb 2016 - Feb 2025
Contributions:175 pushes, 1 branch in 9 years 2 months
overwindows/SemanticCodeSearch
Aug 2018 - Sep 2022
Semantic Code Search
Contributions:21 commits, 2 PRs, 56 pushes in 4 years
code-searchsemanticsemantic-code
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