PeopleofSuperintelligence

Researcher

Marina Meilă

Marina Meilă is a machine-learning researcher whose work develops mathematical tools for clustering and graph segmentation. She earned an M.S. in electrical engineering in Bucharest and a Ph.D. at MIT, then coauthored a random-walk framework for spectral segmentation and developed a method to test clustering quality. Her career includes appointments at the Bucharest Research Institute for Computer Technology, the Polytechnic University of Bucharest, Carnegie Mellon’s Robotics Institute and the University of Washington; she co-chaired ICML’s program in 2020. Since July 2025, she has been a full professor at Waterloo and an Affiliate Professor at Washington; she holds a Tier 1 Canada Research Chair and a Canada CIFAR AI Chair with Vector.

Born
1962

Years link to their sources.

Timeline

  1. 1985–1999

    Bucharest and MIT degrees

    She earns an M.S. in electrical engineering from the Polytechnic University of Bucharest in 1985 and a Ph.D. in computer science and electrical engineering from the Massachusetts Institute of Technology in 1999.

  2. 2001

    Random walks for segmentation

    In 2001, she and Jianbo Shi interpret pairwise similarities as edge flows in a Markov random walk. They show that this gives spectral clustering a probabilistic foundation and characterizes when Normalized Cut is exact.

  3. 2018

    Guarantees for clustering

    In 2018, she introduces the Sublevel Set method, which uses convex relaxations to establish near-optimality and uniqueness for a clustering. The method provides distribution-free guarantees for K-means on realistic datasets.

  4. 2020

    Co-chairing ICML

    In 2020, she co-chairs the International Conference on Machine Learning’s program with Tong Zhang.

  5. By 2025

    Earlier academic appointments

    Her earlier appointments include the Bucharest Research Institute for Computer Technology, the Polytechnic University of Bucharest and the Robotics Institute at Carnegie Mellon. Before she joins Waterloo in July 2025, she is a Full Professor of Statistics at the University of Washington.

  6. July 2025

    Joining Waterloo

    In July 2025, she joins the Cheriton School of Computer Science at the University of Waterloo as a Full Professor.

  7. May 2026

    Reliable Structure Discovery chair

    In May 2026, she is appointed Tier 1 Canada Research Chair in Reliable Structure Discovery.

  8. As of October 2026

    Professor at Waterloo

    As of October 2026, she is Professor of Computer Science at the University of Waterloo and Affiliate Professor of Statistics at the University of Washington. She holds a faculty position at the Vector Institute for AI and a Canada CIFAR Chair in AI. Her research builds and validates tools that help computers find genuine patterns in complex data.

Career

  1. Since 2025University of WashingtonFull Professor of Statistics, Affiliate Professor of Statistics
  2. Since 2025University of WaterlooFull Professor
  3. NowVector InstituteFaculty

Education

  1. 1999Massachusetts Institute of TechnologyPh.D.
  2. 1985Politehnica University of BucharestM.S.

From the biography.

  1. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes University of Washington. 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.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Washington. 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.
  3. Of 943 people shaping AI who worked at Google, 446 work there nowIncludes Vector Institute. Our estimates of where the 943 people shaping AI who worked at Google and Google DeepMind work now: 446 at Google and 452 across 278 other organizations.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes University of Washington. 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.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Marina Meila | UW Department of Electrical & Computer Engineering ece.uw.edu. Checked 21 October 2026.
  2. A Random Walks View of Spectral Segmentation proceedings.mlr.press. Checked 21 October 2026.
  3. How to tell when a clustering is (approximately) correct using convex relaxations papers.neurips.cc. Checked 21 October 2026.
  4. Fox and Meila serving as co-Chairs for Machine Learning Conferences stat.uw.edu. Checked 21 October 2026.
  5. Marina Meila appointed Canada Research Chair in Reliable Structure Discovery uwaterloo.ca. Checked 21 October 2026.
  6. Marina Meila - Vector Institute for Artificial Intelligence vectorinstitute.ai. Checked 21 October 2026.
  7. Vector Institute 2025-26 Annual Report annual-report.vectorinstitute.ai. Checked 21 October 2026.