Xiaoyuan Guo
Research Engineer at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolXiaoyuan Guo is a research engineer specializing in Generative AI and LLM post-training with nine years of experience bridging cutting-edge research and production at Google DeepMind and Google. She has driven measurable improvements in code-generation systems like Google BQSQL through SFT, RL, and distillation, and leads large-scale open-source model training to broaden access to high-performance AI. Her background spans multimodal learning and computer vision—from moonshot projects at X to applied agricultural and sustainability work at Mineral.ai—grounded in a Ph.D. focused on medical imaging and vision–language integration. Known for translating research into real-world impact, she combines deep academic rigor with hands-on engineering to optimize model quality and training efficiency. An interesting thread through her career is applying open-vocabulary and robustness techniques from vision research to challenging domain-specific and low-data settings.
9 years of coding experience
8 years of employment as a software developer
Master of Engineering - MEng, Computer Engineering, Master of Engineering - MEng, Computer Engineering at University of Chinese Academy of SciencesDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Emory UniversityBachelor of Science - BS, Computer and Information Systems Security/Information Assurance, Bachelor of Science - BS, Computer and Information Systems Security/Information Assurance at Tianjin University of Technology
Github Skills (1)
csharp3
Programming languages (2)
Github contributions (5)
XiaoyuanGuo/CVAD
Mar 2021 - Nov 2021
Code for CVAD
Contributions:51 commits, 2 PRs, 47 pushes in 8 months
XiaoyuanGuo/BAC_segmentation
Aug 2020 - Jul 2022
Contributions:17 commits, 1 PR, 7 pushes in 1 year 11 months
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