Researcher

Emily Pitler

Emily Pitler is a Google computational linguist who helped build tool use for the Gemini models. She earned a BS in computer science at Yale in 2007 and a PhD in computer and information science at the University of Pennsylvania in 2013. In 2019, she led a team that worked on more robust language-understanding models. In 2023, she co-led tool use for Gemini 1.0, and in July 2025 she was among the authors of the Gemini 2.5 technical report. As of October 2026, she works at Google.

Now at
Google
Works
55
Citations
3,809
h-index
24

Publication numbers from OpenAlex, as of 15 October 2026.

Timeline

  1. 2007–2013

    A Penn computer science PhD

    She earns a BS in computer science at Yale in 2007 and a PhD in computer and information science at the University of Pennsylvania in 2013. The IGERT program names her a trainee for work that improves the computer parsing efficiency of languages with crossed dependencies.

  2. October 2018

    Staff research scientist at Google AI

    She co-writes the blog post Google at EMNLP 2018 as a staff research scientist at Google AI Language.

  3. 2019

    Robust language-understanding models

    She speaks at MLconf 2019 in New York City on representations from natural language data. She leads a team of researchers and engineers that works on making language-understanding models more robust.

  4. 2020

    New textual entailment protocols

    She co-authors New Protocols and Negative Results for Textual Entailment Data Collection at EMNLP 2020. The paper compares alternative crowdsourcing protocols for natural language inference data.

  5. 2023

    Tool use for Gemini 1.0

    She co-leads the tool-use work in the Gemini 1.0 report, which presents Google's multimodal model family.

  6. July 2025

    Author on Gemini 2.5

    She appears among the authors of the Gemini 2.5 technical report, first submitted to arXiv in July 2025.

  7. As of October 2026

    Computational linguist at Google

    She is a computational linguist at Google.

Sources and credits

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  1. Emily Pitler | MLconf - The Machine Learning Conference mlconf.com. Checked 15 October 2026.
  2. Achievement: Computer parsing efficiency of languages igert.org. Checked 15 October 2026.
  3. Google at EMNLP 2018 research.google. Checked 15 October 2026.
  4. Emily Pitler - ACL Anthology aclanthology.org. Checked 15 October 2026.
  5. Gemini: A Family of Highly Capable Multimodal Models arxiv.org. Checked 15 October 2026.
  6. [2312.11805] Gemini: A Family of Highly Capable Multimodal Models arxiv.org. Checked 15 October 2026.
  7. [2507.06261] Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities arxiv.org. Checked 15 October 2026.
  8. Emily Pitler - Wikidata wikidata.org. Checked 15 October 2026.