Jian Gao
Sr. Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJian Gao is a senior applied scientist at Amazon’s AGI organization with nine years of experience bridging academic research and production ML systems. He holds a PhD in Computer Science from NYU and has published 15+ papers while reviewing 200+ submissions across top conferences in speech, vision, and robust ML. At Amazon he focuses on building and evaluating LLMs, reward models, and RLHF, while also co-founding Rhobust AI to develop privacy-preserving and adversarially robust solutions for speech and images. His work spans game-theoretic robust optimization, GANs, and speech anonymization, combining deep theoretical rigor with practical engineering for real-world deployment. Based in Seattle, Jian’s profile blends strong publication impact and community service—he served as Area Chair for AMLC (2021–2023)—with a startup mindset for translating research into privacy and safety products.
9 years of coding experience
9 years of employment as a software developer
High School Diploma, High School Diploma at Shanghai Weiyu High SchoolDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at New York UniversityMaster’s Degree Pattern Recognition and Intelligent Systems, Master’s Degree Pattern Recognition and Intelligent Systems at Tongji University
Github Skills (20)
arxiv6
representations3
self-contained2
machine-learning2
computation2
unsupervised-learning2
deep-learning2
api2
generative2
lmdb1
bitcoin1
hyperparameters1
pytorch1
data-science1
bitmex1
Programming languages (2)
Github contributions (5)
bottlecapper/VCCycleGAN
Oct 2018 - Feb 2019
Contributions:28 commits, 24 pushes in 4 months
bottlecapper/EmoMUNIT
Oct 2018 - Apr 2019
Contributions:244 commits, 239 pushes in 5 months
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