Yanqi Gu
Research Scientist at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolYanqi Gu is a research scientist with a decade of experience focused on cryptography, privacy-preserving systems, and applied security, now building next-generation ad technologies at Meta while balancing data utility and strong privacy guarantees. She holds a PhD in Applied Cryptography from UC Irvine and has led research efforts across industry labs—working on homomorphic encryption, secure federated learning, MPC, and privacy-enhancing techniques at Intel, JD.com, Intertrust, and Microsoft. Yanqi’s work blends theoretical cryptography with practical system design, exemplified by a privacy-preserving IoT system built with homomorphic encryption and production-minded signal and ranking research for advertising. Based in Menlo Park, she brings interdisciplinary rigor to product-focused problems and a track record of translating cutting-edge research into deployable privacy solutions.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE, Electronic Information Engineering, Bachelor of Engineering - BE, Electronic Information Engineering at Beijing University of Posts and TelecommunicationsUniversity of California, Irvine
English, Chinese
Github Skills (45)
machine-learning10
privacy10
differential-privacy10
privacy-preserving10
paper10
packing7
encryption5
privacy-enhancing-technologies5
scheme5
adversarial-learning5
bootstrapping5
approximate5
crypto5
evaluation4
cryptanalysis4
Programming languages (6)
Github contributions (5)
Guyanqi/Guyanqi.github.io
Jul 2017 - Oct 2018
Contributions:150 pushes, 1 branch in 1 year 2 months
Guyanqi/Awesome-Privacy
Jan 2019 - Dec 2021
Repository for collection of research papers on privacy.
Contributions:1 review, 44 commits, 2 PRs in 2 years 11 months
learning-theoryprivacydifferential-privacymachine-learningresearch-papers
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