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Dani Yogatama

Co-founder and CEO of Reka and associate professor of computer science at USC

  • Co-founder and CEO, Reka1
  • Associate Professor, Department of Computer Science, University of Southern California1

Dani Yogatama is a co-founder and the CEO of Reka and an associate professor in the Department of Computer Science at the University of Southern California. Yogatama was previously a senior staff research scientist at DeepMind from 2016 to 2022, and is a co-author of the 2024 Reka technical report that introduced the Reka Core, Flash and Edge multimodal language models.12

Career

Yogatama received a PhD from Carnegie Mellon University (2010 to 2015), advised by Noah Smith as a member of Noah's ARK. Yogatama then worked at the Baidu Silicon Valley AI Lab (2015 to 2016) and at DeepMind (2016 to 2022), where Yogatama was a senior staff research scientist.1

Yogatama is now a co-founder and the CEO of Reka, and an associate professor of computer science at the University of Southern California.1

Research

Publications and news listed on Yogatama's site include work on semiparametric language models, random feature attention (ICLR 2021), episodic memory, and the cross-lingual transferability of monolingual representations (ACL 2020).13

At Reka, Yogatama co-authored the 2024 technical report on Reka Core, Flash and Edge, multimodal language models trained from scratch that take text, image, video and audio inputs.2

Work

  • Reka FlashPublished research

    Co-author of "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" (2024), the Reka Team technical report describing the training and evaluation of the Reka Flash model and its siblings.2

    Project page (external site: arxiv.org)

  • Random Feature Attention (external site: arxiv.org)Published research

    Co-author, with Hao Peng, Nikolaos Pappas, Roy Schwartz, Noah Smith and Lingpeng Kong, of the 2021 paper on random feature attention, which Yogatama's site notes was accepted to ICLR 2021 as a spotlight presentation.31

Career timeline

  1. 2010

    Began a PhD at Carnegie Mellon University, advised by Noah Smith.1

  2. 2015

    Completed the CMU PhD and joined the Baidu Silicon Valley AI Lab.1

  3. 2016

    Joined DeepMind, later serving as a senior staff research scientist until 2022.1

  4. Apr 2020

    Had a paper on the cross-lingual transferability of monolingual representations accepted to ACL 2020.1

  5. Mar 2021

    Posted Random Feature Attention as a co-author; the paper was accepted to ICLR 2021 as a spotlight presentation.31

  6. Apr 2024

    Co-authored the Reka technical report introducing Reka Core, Flash and Edge.2

Other documented roles

Roles the sources document but that are not confirmed as current.

  • Senior staff research scientist (2016 to 2022), DeepMind1
  • Researcher (2015 to 2016), Baidu Silicon Valley AI Lab1

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References · reviewed Oct 22, 2026

  1. 1.
    Dani Yogatama — homepage (external site: dyogatama.github.io)

    Dani Yogatama · Official page · accessed Oct 22, 2026

  2. 2.
  3. 3.
    Random Feature Attention (arXiv 2103.02143) (external site: arxiv.org)

    arXiv · Paper · published Mar 3, 2021 · accessed Oct 22, 2026

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