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.
11 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 (16)
bag-of-words10
bert10
text-matching9
matching9
information-retrieval9
deep-learning8
kernel8
neural-network7
natural-language-processing6
google-search4
crawler3
search-engine2
tensorflow1
encoder-decoder1
decoder1
Programming languages (2)
Github contributions (5)
AdeDZY/K-NRM
Nov 2017 - Nov 2017
K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling
Contributions:51 commits, 2 pushes, 24 comments in 1 day
kernelinformation-retrievalneural-networkdeep-learning
AdeDZY/DeepCT
Nov 2019 - May 2021
DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.
Contributions:62 commits, 40 pushes, 12 comments in 1 year 5 months
bag-of-wordsbert
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