Huanyu Zhang
Staff Research Scientist at Meta
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolHuanyu Zhang is a Staff Research Scientist in New York with eight years of research-focused experience at the intersection of differential privacy, statistical machine learning, and synthetic data generation. At Meta he leads work on privacy-preserving training and tools like DP-SGD and Opacus, building practical systems to enable safe data sharing and ML model training. His PhD from Cornell and earlier work there and at Microsoft emphasize rigorous foundations in information theory and privacy, while his Peking University background grounds him in signal and communications thinking. He blends deep theoretical expertise with hands-on engineering to move privacy methods from papers into production, and often focuses on utilitarian metrics and tooling that make privacy mechanisms adoptable in real-world pipelines. An under-the-radar strength is his track record of connecting theory to scalable implementations, helping bridge academic advances with platform-level deployment.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Peking UniversityDoctor of Philosophy (PhD) Electrical and Electronics Engineering, Doctor of Philosophy (PhD) Electrical and Electronics Engineering at Cornell University
Chinese, English
Github Skills (6)
pytorch10
machine-learning10
deep-learning10
differential-privacy10
neural-network9
privacy9
Programming languages (1)
Github contributions (5)
HuanyuZhang/HuanyuZhang.github.io
Aug 2019 - Nov 2023
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:231 pushes, 1 comment in 4 years 3 months
templategithub-pages-templatemmistakesmistakesjekyll
HuanyuZhang/opacus
Jul 2023 - Mar 2025
Training PyTorch models with differential privacy
Contributions:94 pushes, 27 branches in 1 year 8 months
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