Kristina Toutanova
Research scientist at Google DeepMind and University of Washington affiliate faculty; co-author of BERT
- Research scientist, Google DeepMind15
- Affiliate Assistant Professor, Department of Linguistics, University of Washington21
Kristina Toutanova is a research scientist at Google, listed with Google DeepMind on an ICLR 2026 paper, and an affiliate faculty member at the University of Washington, where the Department of Linguistics lists Toutanova as an Affiliate Assistant Professor. Before joining Google in 2017, Toutanova was a researcher at Microsoft Research. Google Research's profile describes work on modeling the structure of natural language with machine learning, most recently in representation learning, question answering, information retrieval, semantic parsing, and knowledge base completion, and notes that Toutanova is a past co-editor in chief of TACL. Toutanova is a co-author of BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, whose code and pretrained models are released under the Apache 2.0 license in the google-research/bert repository.15234
Work
BERT (external site: github.com)Open-source code
Co-author with Jacob Devlin, Ming-Wei Chang, and Kenton Lee of the 2018 BERT paper; the google-research/bert repository, which links the paper and lists Toutanova in its citation, releases TensorFlow code and pretrained models under the Apache 2.0 license.34
Earlier roles
- Researcher (before 2017), Microsoft Research1
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