Shu Wang
Machine Learning Researcher at Apple
United States
Summary
👤
Senior🎓
Top SchoolShu Wang is a machine learning researcher with a decade of experience at the intersection of AI, security, and agent systems, currently building foundation model AI infrastructure at Apple. With a PhD from UCLA and visiting scholar stints at NUS and Cambridge, Shu bridges rigorous academic research and production-focused engineering. Prior work includes LLM reasoning and embodied agents at the Institute of General Artificial Intelligence, reflecting deep expertise in language models and agentic behavior. A security- and AI-focused researcher on GitHub and Google Scholar, Shu blends threat-aware perspectives into model development and deployment. Colleagues describe Shu as equally comfortable designing research experiments and architecting scalable infrastructure for large models.
10 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Bachelor's Degree at Fudan UniversityVisiting Scholar, Visiting Scholar at University of CambridgeUniversity of California, Los AngelesVisiting Scholar, Visiting Scholar at National University of Singapore
Chinese, English
Github Skills (21)
image-resolution10
artificial-intelligence10
pretrain10
large-language-models10
llm-inference10
ai10
llm9
deep-learning9
convolutional-neural-networks8
security7
super-resolution7
rnn-model7
code-analysis7
cpp6
classification-model6
Programming languages (5)
Github contributions (5)
shuwang127/shuwang127.github.io
May 2022 - Aug 2022
Contributions:280 pushes, 1 branch in 3 months
shuwang127/PatchML
Nov 2020 - Aug 2022
Contributions:11 commits in 1 year 9 months
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