Summary
Yue Gao is a Research Engineer and PhD candidate in Computer Science at UW–Madison with 11 years of experience at the intersection of machine learning and security, now building at Google DeepMind after roles at Snowflake and Microsoft Research. She has a strong publication record in ICML, NeurIPS, CVPR and USENIX Security and a track record of turning research into production defenses—e.g., implementing an Azure ML pipeline defense that cut backdoor attack success from 100% to 12%. Her work spans adversarial ML, ML system security, and cybersecurity for web and OS platforms, with hands-on MLOps and systems engineering experience from a startup where she sped up 4K image compression by 15x and led end-to-end secure deployments. Based in Mountain View, she combines deep academic rigor with practical product and red-team experience, and brings a pragmatic, systems-first approach to securing modern ML lifecycles.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Computer Sciences, Doctor of Philosophy - PhD Computer Sciences at University of Wisconsin-Madison
Bachelor of Science - BS Computer Science and Technology, Bachelor of Science - BS Computer Science and Technology at Shanghai University