PeopleofSuperintelligence

Researcher

Vivienne Ming

Also known as Vivienne L'Ecuyer Ming

Vivienne Ming is a theoretical neuroscientist whose AI work applies machine learning to education, hiring, health, and human-AI collaboration. She graduated from UC San Diego in 2000 with a bachelor's degree and earned a PhD from Carnegie Mellon. Her work spanned AI hiring at Gild, education research at Socos and UC Berkeley, family learning through Muse, and AI projects for postpartum health and human development. In 2026, she published Robot-Proof and a paper on human-AI forecasting; as of October 2026, she is co-founder and CEO of The Human Trust and founding chief scientist at Possibility Sciences, with roles at UCL and UC Berkeley's Neurotech Collider Lab.

Now at
The Human Trust, Possibility Sciences, University College London and University of California, Berkeley
Born
1971
Badges

Years link to their sources.

Timeline

  1. 2000

    A UC San Diego degree

    She graduates from UC San Diego in 2000 with a bachelor's degree. She earns a PhD at Carnegie Mellon University.

  2. 2013

    Machine learning for hiring

    In 2013, she is a co-founder of Socos and chief scientist at Gild, where machine learning predicts candidates for technology jobs. Socos uses student work to model learning and personalize instruction.

  3. April 2015

    Research at Berkeley's Redwood Center

    By April 2015, she is a visiting scholar at UC Berkeley's Redwood Center, researching cognitive prosthetics, and managing partner at Socos. The company applies cognitive models to align education with life outcomes.

  4. 2017

    BBC 100 Women

    She joins the BBC 100 Women list in 2017.

  5. 2021

    Muse for family learning

    In 2021, she is executive chair of Socos Labs and uses AI to predict manic episodes, help children with seizure disorders and reduce bias in hiring. Muse uses machine learning to send parents and children targeted play-based activities each day.

  6. 2024–2025

    AI for postpartum health

    In 2024, her Dionysus Health startup announces a biological test that combines epigenetics with AI to predict postpartum-depression risk before delivery. Her 2025 Human Tapestry Initiative proposes an AI foundation model that pairs biological and behavioral data to study human development.

  7. 2026

    Robot-Proof and hybrid intelligence

    In March 2026, she publishes Robot-Proof: When Machines Have All the Answers, Build Better People, a book about people in an automated world. Her July 2026 paper on human-AI forecasting links successful collaboration to perspective-taking, intellectual humility and curiosity.

  8. As of October 2026

    Leading the Human Trust

    As of October 2026, she is co-founder and CEO of The Human Trust, which is building a foundation model for human development, and founding chief scientist at Possibility Sciences. She is also a theoretical neuroscientist, honorary professor at UCL's Global Business School for Health, and chair of UC Berkeley's Neurotech Collider Lab.

Career

  1. NowUniversity of California, BerkeleyVisiting Scholar, Chair
  2. NowThe Human TrustCo-founder and CEO
  3. NowPossibility SciencesFounding Chief Scientist
  4. NowUniversity College LondonHonorary Professor
  5. From 2013SocosCo-founder, Managing Partner
  6. From 2013GildChief Scientist

Education

  1. 2000University of California, San DiegoBachelor's degree
  2. Carnegie Mellon UniversityPhD

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of California, Berkeley. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of California, Berkeley. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of California, Berkeley. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  4. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes University of California, Berkeley. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.

Sources and credits

Photo: We have no published photo of Vivienne Ming yet. Send us a free-licensed photo.

  1. Convocation Keynote to Students: Mistakes are Stepping Stones on Path to Greatness today.ucsd.edu. Checked 20 October 2026.
  2. Revolutionary Potential cmu.edu. Checked 20 October 2026.
  3. Vivienne Ming April 2015 redwood.berkeley.edu. Checked 20 October 2026.
  4. Keynote Speakers astc.org. Checked 20 October 2026.
  5. A Not-So-Mad Scientist cmu.edu. Checked 20 October 2026.
  6. Muse academy.socos.org. Checked 20 October 2026.
  7. Dionysus Health academy.socos.org. Checked 20 October 2026.
  8. BioBehavioral Bank academy.socos.org. Checked 20 October 2026.
  9. Goodbye, 2025 academy.socos.org. Checked 20 October 2026.
  10. Human Capital, Not Model Benchmarks, Predicts Hybrid Intelligence in Forecasting arxiv.org. Checked 20 October 2026.
  11. About Vivienne socos.org. Checked 20 October 2026.