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
Earlier roles
- 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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