Ziyi Yang
Staff Research Scientist at Databricks
United States
Summary
🤩
Rockstar🎓
Top SchoolZiyi Yang is a Staff Research Scientist with eight years of research-focused experience at the intersection of machine learning and language models, currently at Databricks after leading post-training efforts for Phi models as a Principal Researcher at Microsoft. He holds a PhD from Stanford in Mechanical Engineering with prior MS in EE and a physics BS, reflecting a strong foundation across modeling, signal processing, and ML. His work includes influential papers on multilingual embeddings and unsupervised summarization presented at EMNLP and SIGIR, and he has a consistent track record of turning research into deployable GenAI improvements. Colleagues know him for bridging deep theoretical insight with practical model tuning at scale, and for driving post-training innovations that enhance large-model performance and safety.
8 years of coding experience
8 years of employment as a software developer
Electrical and Computer Engineering, Electrical and Computer Engineering at Duke UniversityBachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at Nanjing UniversityDoctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Stanford University
Chinese, English
Github Skills (58)
python10
acceleration10
machine-learning10
numpy10
deep-learning10
tensorflow10
gpu10
neural-network10
gpu-acceleration10
autograd9
tensor9
compression9
mixture-of-experts8
summarization8
pytorch7
Programming languages (2)
Github contributions (5)
ziyi-yang/GEM
Aug 2019 - Jun 2020
Contributions:11 commits, 11 pushes, 1 branch in 9 months
ziyi-yang/LIR
Sep 2021 - Dec 2021
Contributions:6 commits, 2 pushes, 1 branch in 2 months
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