PeopleofSuperintelligence

Researcher

Maks Ovsjanikov

Maks Ovsjanikov is a computer scientist whose work develops learning methods for geometric 3D data. He earned a PhD in mathematical and computer engineering at Stanford in 2011, worked on image and 3D shape analysis at Google, and joined École Polytechnique’s LIX lab in 2012. His 2012 paper “Functional Maps” presents a flexible representation of maps between shapes; he received the Eurographics Young Researcher Award in 2014 and the CNRS Bronze Medal in 2018. He received an ERC Consolidator Grant for VEGA in 2023, a project on transfer learning for geometric data, and is a professor at École Polytechnique and a Visiting Research Scientist at Google DeepMind.

Badges

Timeline

  1. 2011

    A Stanford PhD

    He earns a PhD in mathematical and computer engineering at Stanford in 2011 under Leonidas Guibas.

  2. 2012

    Joining LIX at Polytechnique

    After a year in Google’s research group on image analysis and 3D shapes, he joins LIX at École Polytechnique in 2012.

  3. 2012

    Functional Maps

    In 2012, he coauthors “Functional Maps,” a flexible representation of maps between shapes that allows efficient inference and manipulation.

  4. 2014

    Eurographics Young Researcher Award

    Eurographics recognizes him with its Young Researcher Award in 2014.

  5. 2018

    CNRS Bronze Medal

    He wins the CNRS Bronze Medal in 2018.

  6. 2023

    An ERC Consolidator Grant

    He receives an ERC Consolidator Grant in January 2023.

  7. 2023

    VEGA for geometric data

    In 2023, VEGA sets out to create a new approach to geometric-data analysis that can transfer and adapt solutions across problems and data types.

  8. As of October 2026

    Professor and DeepMind researcher

    He is a professor in École Polytechnique’s Computer Science Department and a Visiting Research Scientist at Google DeepMind.

Career

  1. Since 2012École PolytechniqueProfessor
  2. NowGoogle DeepMindVisiting Research Scientist
  3. Until 2012Google

Education

  1. 2011Stanford UniversityPhD

From the biography.

  1. 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.
  2. 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.
  3. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Google. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Young Researcher Award 2014 – Maks Ovsjanikov – Eurographics eg.org. Checked 20 October 2026.
  2. Maks Ovsjanikov, nouveau titulaire de la Chaire Jean Marjoulet polytechnique.edu. Checked 20 October 2026.
  3. Functional maps: A flexible representation of maps between shapes researchportal.ip-paris.fr. Checked 20 October 2026.
  4. Art and archaeology are the new frontiers for AI | CNRS News news.cnrs.fr. Checked 20 October 2026.
  5. Deux titulaires de la chaire Marjoulet lauréats d’une bourse ERC Consolidator polytechnique.edu. Checked 20 October 2026.
  6. Maks Ovsjanikov’s website lix.polytechnique.fr. Checked 20 October 2026.