Kyunghyun Cho
NYU professor of computer science and data science; co-author of the RNN encoder-decoder and attention papers
- Glen de Vries Professor of Health Statistics; Professor of Computer Science and Data Science, New York University1
- Co-Founder and CEO, Ortet, Inc.1
Kyunghyun Cho is the Glen de Vries Professor of Health Statistics and a professor of computer science and data science at New York University, where Cho co-directs the Global Frontier AI Lab with Yann LeCun, and is a co-founder and CEO of Ortet. Cho was a research scientist at Facebook AI Research from June 2017 to May 2020, co-founded Prescient Design in early 2021, and served at Genentech as Executive Director of Frontier Research and a Senior Fellow until January 2026. Cho is first author of the 2014 paper proposing the RNN Encoder-Decoder for statistical machine translation and a co-author, with Dzmitry Bahdanau and Yoshua Bengio, of Neural Machine Translation by Jointly Learning to Align and Translate. Cho was a founding Editor-in-Chief of Transactions on Machine Learning Research until 2024.123
Work
RNN Encoder-Decoder (external site: arxiv.org)Published research
First author of Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation (2014), which proposes a model of two recurrent networks that encode a sequence into a fixed-length vector and decode it into another sequence.2
Neural Machine Translation by Jointly Learning to Align and Translate (external site: arxiv.org)Published research
Co-author with Dzmitry Bahdanau and Yoshua Bengio of the 2014 paper on jointly learning to align and translate in neural machine translation.3
Other documented roles
Roles the sources document but that are not confirmed as current.
- Research Scientist, Facebook AI Research (June 2017 – May 2020), Meta (Facebook AI Research)1
- Executive Director of Frontier Research and Senior Fellow (until January 2026), Genentech1
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