PeopleofSuperintelligence

Researcher

Burcu Karagol Ayan

Also known as Burcu Karagol-Ayan

Burcu Karagol Ayan is a Google Research software engineer working on natural language understanding, multimodal datasets and responsible AI. She earned a PhD at the University of Maryland in 2007 and coauthored research on low-data text classification in 2019 and quotation recommendation in 2021. In 2022, she coauthored the Imagen paper, which won a NeurIPS Outstanding Paper Award. In 2024, she coauthored work on detailed image descriptions and text-to-image safety. Her 2025 paper modeled species distribution with graph neural networks, and her 2026 paper studied geographic priors for bioacoustic monitoring.

Badges

Timeline

  1. 2007

    A Maryland PhD

    In 2007, she completes a University of Maryland PhD. Her dissertation work with Amy Weinberg explores lexical acquisition from bilingual dictionaries.

  2. 2019

    Text classification with few examples

    In 2019, she coauthors Text Classification with Few Examples using Controlled Generalization, which uses sparse semantic features to help classifiers work with limited training data.

  3. 2021

    Context-based quote recommendation

    In 2021, she coauthors Context-Based Quotation Recommendation. The system ranks quotable passages from text an author has written and adapts BERT methods from open-domain question answering.

  4. 2022

    An Outstanding Paper Award

    She coauthors Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding, which introduces Imagen, a text-to-image diffusion model using large language models. The paper receives a NeurIPS 2022 Outstanding Paper Award.

  5. 2024

    Image descriptions and model safety

    In 2024, she coauthors ImageInWords, a human-in-the-loop framework and dataset for detailed image descriptions. She also coauthors Harm Amplification in Text-to-Image Models, which defines and measures harmful representations produced from seemingly safe prompts.

  6. 2025

    Graph neural networks for species modeling

    In 2025, she coauthors Heterogeneous graph neural networks for species distribution modeling. The model treats species and locations as separate node sets and predicts detection records as links between them.

  7. 2026

    Calibrating bioacoustic models

    In 2026, she coauthors Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring. The paper combines acoustic predictions with geographic priors to improve calibration for biodiversity monitoring.

  8. As of October 2026

    Google Research software engineer

    She is a software engineer at Google Research, working on natural language understanding, multimodal datasets and responsible AI for multimodal systems.

Career

  1. NowGoogle ResearchSoftware Engineer

Education

  1. 2007University of MarylandPhD

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Burcu Karagol Ayan. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Burcu Karagol Ayan. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Sources and credits

Photo: We have no published photo of Burcu Karagol Ayan yet. Send us a free-licensed photo.

  1. David Doermann, Professor, Empire Innovation cse.buffalo.edu. Checked 20 October 2026.
  2. Burcu Karagol Ayan research.google. Checked 20 October 2026.
  3. Text Classification with Few Examples using Controlled Generalization aclanthology.org. Checked 20 October 2026.
  4. Context-Based Quotation Recommendation ojs.aaai.org. Checked 20 October 2026.
  5. Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding arxiv.org. Checked 20 October 2026.
  6. Announcing the NeurIPS 2022 Awards blog.neurips.cc. Checked 20 October 2026.
  7. ImageInWords: Unlocking Hyper-Detailed Image Descriptions research.google. Checked 20 October 2026.
  8. Harm Amplification in Text-to-Image Models arxiv.org. Checked 20 October 2026.
  9. Heterogeneous graph neural networks for species distribution modeling research.google. Checked 20 October 2026.
  10. Beyond Discrimination: Calibrated Geoprior Fusion for Bioacoustic Monitoring arxiv.org. Checked 20 October 2026.