Zhuyun Dai
Staff Research Scientist at Google DeepMind
Pittsburgh, Pennsylvania, United States
Summary
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Rockstar🎓
Top SchoolZhuyun Dai is a Staff Research Scientist at Google DeepMind with a decade of experience advancing LLMs, neural retrieval, and multimodal world models. Her work spans leadership on Gemini post-training (factuality and long-context capabilities), prior contributions to Bard factuality and multi-vector retrieval at Google Research, and a PhD from Carnegie Mellon focused on neural solutions for large-scale information retrieval. She combines deep research rigor with product-facing engineering, having collaborated with Ads and Search teams and led RL and reward-modeling efforts to improve factuality. Trained originally at Peking University, she brings a global perspective and rare end-to-end expertise from distributed retrieval systems to omni-modality generation.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Peking UniversityPhD, Language and Information Technologies, PhD, Language and Information Technologies at Carnegie Mellon University
Chinese, English
Github Skills (15)
text-matching9
matching9
natural-language-processing6
sentence-similarity5
nlp5
deep-learning5
google-search5
pytorch4
neural-network4
crawler3
search-engine2
tensorflow1
encoder-decoder1
decoder1
encoder1
Programming languages (2)
Github contributions (5)
AdeDZY/DeepCT
Nov 2019 - May 2021
Contributions:62 commits, 40 pushes, 12 comments in 1 year 5 months
AdeDZY/K-NRM
Nov 2017 - Nov 2017
Contributions:51 commits, 2 pushes, 24 comments in 1 day
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