Yang Cao
Associate Professor
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolYang Cao is an associate professor and leader of the Trustworthy Data Science and AI Lab in Tokyo, specializing in privacy-enhancing technologies, federated learning, differential privacy, and AI security. With a decade of experience spanning tenured academic roles at Kyoto, Hokkaido, Tokyo Tech and Industry experience as a software engineer for NEC, he bridges rigorous theory with practical system-building for trustworthy ML. His research focuses on making foundation models and data marketplaces more reliable, fair, and transparent, while translating those advances into deployable algorithms and systems. Trained with a PhD in Informatics from Kyoto University, he combines deep academic rigor with hands-on software engineering across Java, C#, and C++. Based in Tokyo and self-described as an "entomologist in CS," he brings a curiosity-driven approach to dissecting complex data ecosystems. His work is notable for tackling real-world trust gaps in data management and machine learning rather than solely theoretical benchmarks.
10 years of coding experience
11 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Northwestern Polytechnical UniversityDoctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Kyoto University (京都大学)
Japanese, English, Chinese
Github Skills (16)
ranking9
differential-privacy8
science7
computer-science7
react7
ipad7
pdf-annotation6
utterances5
android4
github3
pdf-reader3
mobile3
trusted-execution-environment3
plugin2
google-scholar2
Programming languages (7)
Github contributions (5)
yangcao88/TPL
Dec 2017 - Jul 2021
Quantifying Differential Privacy under Temporal Correlations
Contributions:1 release, 17 commits, 16 pushes in 3 years 7 months
differential-privacy
iris0305/voice_ind
Aug 2020 - Mar 2021
Contributions:7 commits, 6 pushes in 6 months
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