PeopleofSuperintelligence

Researcher

Ellen Clancy

Ellen Clancy is a researcher whose coauthored work connects AI with human-action data, protein structure and weather forecasting. In 2020, she coauthored a note on DeepMind's Kinetics-700 dataset; in 2021, she coauthored the AlphaFold paper, a Google DeepMind account of proteome-scale predictions and a radar-nowcasting study. A 2023 study with Rutherford Appleton Laboratory's Central Laser Facility found that DNA damage changed cell viscosity and refractive index.

Timeline

  1. 2020

    Kinetics-700 human-action data

    In 2020, she coauthors a note on DeepMind's Kinetics human-action dataset, describing an updated release with dataset statistics and I3D baseline results.

  2. 2021

    AlphaFold protein structures

    In 2021, she coauthors DeepMind's AlphaFold paper, which reports protein-structure predictions with accuracy competitive with experimental structures in most CASP14 cases.

  3. July 2021

    AlphaFold at proteome scale

    In July 2021, she coauthors Google DeepMind's account of AlphaFold predictions at whole-proteome scale and its partnership with EMBL-EBI to share them through AlphaFold DB.

  4. September 2021

    Radar precipitation nowcasting

    In September 2021, she coauthors a Nature paper presenting a deep generative model for probabilistic precipitation nowcasting from radar.

  5. 2023

    Research at the Central Laser Facility

    In 2023, her research affiliation is Rutherford Appleton Laboratory's Central Laser Facility, and she coauthors a study finding that DNA damage changes cell viscosity and refractive index.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. A Short Note on the Kinetics-700-2020 Human Action Dataset arxiv.org. Checked 19 October 2026.
  2. Highly accurate protein structure prediction with AlphaFold nature.com. Checked 19 October 2026.
  3. Enabling high-accuracy protein structure prediction at the proteome scale deepmind.google. Checked 19 October 2026.
  4. Skilful precipitation nowcasting using deep generative models of radar nature.com. Checked 19 October 2026.
  5. Fluorescence and phosphorescence lifetime imaging reveals a significant cell nuclear viscosity and refractive index changes upon DNA damage pmc.ncbi.nlm.nih.gov. Checked 19 October 2026.
  6. Fluorescence and phosphorescence lifetime imaging reveals a significant cell nuclear viscosity and refractive index changes upon DNA damage nature.com. Checked 19 October 2026.