Di Zhuang
Security Privacy Engineer at Snap Inc.
Santa Monica, California, United States
Summary
👤
Senior🎓
Top SchoolDi Zhuang is a Security Privacy Engineer with 9 years of experience combining academic research and DoD-sponsored projects to advance privacy-preserving machine learning and deep learning. Currently at Snap Inc., she brings 7+ years of security and privacy research and 4+ years on defense-focused data privacy and ML initiatives, with hands-on expertise in differential privacy, homomorphic encryption, and model distillation. Her prior work led teams to build practical systems—like locally differentially private distributed deep learning frameworks and a Split AI Architecture for mobile medical diagnosis—that reduced privacy budgets and lowered server load while maintaining high accuracy. She has a strong experimental track record (e.g., boosting multi-class skin lesion classification to 90.6% using ensemble and fusion techniques) and experience deploying privacy-aware prototypes across mobile and cloud environments. Trained at Iowa State and the University of South Florida with interdisciplinary undergraduate studies in law and computer science, she blends technical depth with attention to regulatory and practical constraints. Notably, she has repeatedly translated privacy theory into scalable systems and active-query strategies that meaningfully reduce data exposure in real-world settings.
9 years of coding experience
2 years of employment as a software developer
PhD student, Computer Engineering, 3.94, PhD student, Computer Engineering, 3.94 at Iowa State UniversityBachelor's degree, Law, Bachelor's degree, Law at Nankai UniversityDoctor of Philosophy - PhD, Computer Engineering, 4.0, Doctor of Philosophy - PhD, Computer Engineering, 4.0 at University of South Florida
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
community-detection10
modularity8
network-flow5
peer-to-peer3
network2
Programming languages (1)
Github contributions (5)
nogrady/dynamo
May 2019 - Sep 2021
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity
Contributions:18 commits, 13 pushes, 4 comments in 2 years 4 months
modularitycommunity-detectiondynamomaximizing
nogrady/Enhanced_PeerHunter_Botnet_Detection
Aug 2019 - Sep 2021
Enhanced PeerHunter: Detecting Peer-to-peer Botnets through Network-Flow Level Community Behavior Analysis
Contributions:4 commits, 2 pushes, 1 branch in 2 years 1 month
network-flowbotnetsbehavior-analysispeer-to-peerdetecting
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.