Hejie Cui
Senior Research Scientist at Google
Palo Alto, California, United States
Summary
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Rockstar🎓
Top SchoolHejie Cui is a Senior Research Scientist at Google with nine years of experience specializing in LLM post-training, agentic systems, and evaluation frameworks for reasoning and reliability. Her work spans synthetic data generation, instruction tuning, and reinforcement learning, with industry impact from Amazon shopping applications to Gemini enterprise agents. A former Stanford postdoc and Emory Ph.D., she bridges rigorous academic research and product-driven model development, particularly in AI for health and large-scale customer understanding. Hejie’s awards (EECS Rising Star, Michigan AI Rising Star) and a Stanford RAISE Health Seed Grant underscore her influence across research and applied ML. Based in Palo Alto, she blends deep technical expertise with a track record of shipping evaluation and fine-tuning systems that improve model factuality and reasoning in real-world services.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at Tongji UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Emory UniversityPostdoctoral Scholar, Computer and Information Sciences, General, Postdoctoral Scholar, Computer and Information Sciences, General at Stanford University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (34)
evaluation10
transparency10
arxiv10
natural-language-processing9
helm9
geometric9
ieee9
nlp9
medical8
ocr-recognition8
bert8
imaging8
pytorch7
text-recognition7
scene-text7
Programming languages (5)
Github contributions (5)
HennyJie/GNN-DocRetrieval
Jun 2021 - Sep 2022
Contributions:5 commits, 2 pushes in 1 year 3 months
HennyJie/BrainGB
Mar 2022 - Oct 2022
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Contributions:2 reviews, 9 commits, 13 PRs in 7 months
pytorchgraph-convolutional-networksgeometric-deep-learningnetwork-embeddingdeep-learning
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