Mingyu Liang
Privacy Engineer at Snap Inc.
Santa Monica, California, United States
Summary
👤
Senior🎓
Top SchoolMingyu Liang is a privacy engineer and cryptography researcher with nine years of experience bridging rigorous academic research and applied privacy systems. Currently at Snap and formerly a post-doc at University of Maryland and research scientist at George Washington University, he focuses on differential privacy, secure multi-party computation, and privacy-preserving machine learning with practical contributions to federated learning, anonymous ticket protocols, and efficient MPC/PSI constructions. He holds a PhD in Computer Science with a cryptography specialization and has collaborated with industry partners including Microsoft and J.P. Morgan to turn theoretical bounds into empirically validated systems. Known for exploring relaxed privacy notions (e.g., differential obliviousness and shuffle-model amplification) and communication-efficient multi-party protocols, he combines deep theoretic analysis with attention to concrete efficiency and real-world adversaries. Based in Santa Monica, he brings a researcher’s rigor to building privacy-preserving primitives that scale to production constraints.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The George Washington UniversityBachelor of Engineering - BE Mechnatronic Engineering, Bachelor of Engineering - BE Mechnatronic Engineering at South China University of TechnologyDoctor of Science Computer Science, Doctor of Science Computer Science at George Mason UniversityProgramming languages (1)
Github contributions (5)
barbagroup/AeroPython-studentprojects2017
Apr 2017 - Apr 2017
Contributions:23 commits, 1 PR in 17 days
wuxuetianzi/mae6226-workspace
Jan 2017 - Apr 2017
Contributions:87 pushes, 1 branch in 3 months
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