Kai Chen
As of October 2026, Kai Chen is a software engineer at Google, where he works on applied machine learning in healthcare and natural language processing. He earned a Ph.D. in computer science from the University of Illinois at Urbana-Champaign in 2004. A paper he co-wrote, Building high-level features using large scale unsupervised learning, was presented at ICML 2012 and received a Test of Time honorable mention from ICML 2022. In 2013, he co-wrote two papers on word representations, one presented at ICLR and one at NIPS. NeurIPS 2023 featured Distributed Representations of Words and Phrases and their Compositionality in its Test of Time Award Talk.
Timeline
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2004
Doctorate from Illinois
He receives a Ph.D. in computer science from the University of Illinois at Urbana-Champaign in 2004.
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2012
Building high-level features
He is one of eight authors of Building high-level features using large scale unsupervised learning, which is presented at ICML 2012.
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2013
Efficient word representations
He is one of four authors of Efficient Estimation of Word Representations in Vector Space, which is presented at ICLR in 2013.
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2013
Distributed representations of phrases
He is one of five authors of Distributed Representations of Words and Phrases and their Compositionality, which is presented at NIPS 2013.
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2022
An ICML honorable mention
ICML 2022 gives an honorable mention in its Test of Time awards to Building high-level features using large scale unsupervised learning.
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2023
A NeurIPS Test of Time talk
NeurIPS 2023 features Distributed Representations of Words and Phrases and their Compositionality in its Test of Time Award Talk.
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As of October 2026
Software engineer at Google
As of October 2026, he is a software engineer at Google, working on applied machine learning in healthcare and natural language processing.
Sources and credits
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