Alex Bie
Research Scientist at Google
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAlex Bie is a research scientist with a decade of experience at the intersection of privacy, robustness, and generative modeling, currently working on differentially private synthetic data at Google. He holds master's and bachelor's degrees in computer science from the University of Waterloo and has published multiple papers at NeurIPS and TMLR on topics including normalization for federated learning and private GANs. Past roles span industry research at NVIDIA and Huawei, applied federated learning and LLM fine-tuning pipelines, and theoretical work proving privacy-robustness theorems during graduate studies. Comfortable moving between theory and production, he has repeatedly bridged rigorous proofs with practical systems for privacy-preserving ML. Notably, he joined the ML Alignment & Theory Scholars program to deepen adversarial robustness expertise, reflecting a sustained focus on safe, reliable ML.
10 years of coding experience
3 years of employment as a software developer
Master of Mathematics, Computer Science, 94, Master of Mathematics, Computer Science, 94 at University of Waterloo
Stackoverflow
1reputation
158reached
0answers
1question
Github Skills (14)
sequence-to-sequence10
pytorch10
artificial-intelligence10
python10
ai9
outlook6
pywin326
batman6
robotics3
security3
llm2
calculator1
deep-learning1
graphing1
Programming languages (1)
Github contributions (5)
alexbie98/alexbie98.github.io
Aug 2016 - Jun 2026
Contributions:48 pushes, 2 branches in 9 years 11 months
alexbie98/config
Feb 2022 - Nov 2024
Contributions:284 pushes, 3 branches in 2 years 9 months
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