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Kenneth Stanley

SVP of Open-Endedness at Lila Sciences; former Open-Endedness Team Leader at OpenAI and creator of NEAT

  • SVP of Open-Endedness, Lila Sciences12

Kenneth O. Stanley is SVP of Open-Endedness at Lila Sciences. Stanley previously led the Open-Endedness Team at OpenAI, headed Core AI Research at Uber AI, co-founded Geometric Intelligence, served as CEO of Maven, and was the Charles Millican Professor in Computer Science at the University of Central Florida. With colleagues, Stanley invented methods including NeuroEvolution of Augmenting Topologies (NEAT), HyperNEAT, novelty search, Go-Explore, POET and Evolution through Large Models (ELM), and co-wrote "Why Greatness Cannot Be Planned" with Joel Lehman.123

Work

  • Evolution through Large Models (ELM) (external site: arxiv.org)Published research

    Co-author with Joel Lehman and others of "Evolution through Large Models" (2022), which uses code-generating language models as mutation operators in genetic programming; Stanley's homepage lists ELM among the methods Stanley co-invented.32

  • NeuroEvolution of Augmenting Topologies (NEAT)Published research

    Listed on Stanley's homepage as an inventor, with colleagues, of NEAT and its extensions HyperNEAT and ES-HyperNEAT, along with compositional pattern producing networks and novelty search.2

Other documented roles

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

  • Open-Endedness Team Leader, OpenAI21
  • Head of Core AI Research, Uber AI2
  • Charles Millican Professor in Computer Science, University of Central Florida2

This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.

Sources · reviewed Oct 13, 2026

  1. 1.
    Kenneth Stanley, PhD — Lila Sciences team (external site: lila.ai)

    Lila Sciences · Official page · accessed Oct 13, 2026

  2. 2.
    Kenneth O. Stanley — home page (external site: kenstanley.net)

    Kenneth O. Stanley · Official page · accessed Oct 13, 2026

  3. 3.
    Evolution through Large Models (arXiv 2206.08896) (external site: arxiv.org)

    arXiv · Paper · published Jun 17, 2022 · accessed Oct 13, 2026

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