PeopleofSuperintelligence

Researcher

Georgios Piliouras

Georgios Piliouras is a computer scientist whose work connects algorithmic game theory with multi-agent learning and AI safety. He earned a computer science PhD at Cornell in 2010, held a Simons Institute fellowship at UC Berkeley, and worked at Georgia Tech, Caltech, SUTD and Google DeepMind. With Stefanos Leonardos, he connected exploration and exploitation in multi-agent learning to catastrophe theory, and his 2024 Nash-equilibrium paper received an ICLR honorable mention. As of October 2026, he is a senior staff research scientist at Google DeepMind and coauthors machine-learning work on game-theoretic incentive design.

Badges

Timeline

  1. 2010

    A Cornell computer science PhD

    He earns a PhD in computer science at Cornell University in August 2010, under Éva Tardos.

  2. 2015

    A Simons Institute fellowship

    In fall 2015, he is a Research Fellow in Economics and Computation at UC Berkeley's Simons Institute for the Theory of Computing.

  3. 2018

    A Singapore NRF fellowship

    He receives the Singapore NRF Fellowship in 2018; his research spans multi-agent learning and algorithmic game theory.

  4. 2021

    Multi-agent learning wins AAAI

    With Stefanos Leonardos, he uses dynamical-systems analysis to connect exploration and exploitation in multi-agent learning with catastrophe theory. Their paper wins the Best Paper Award at AAAI 2021.

  5. 2023

    Associate professor at SUTD

    In 2023, he is an associate professor at SUTD and a senior research scientist at Google DeepMind. His prior research posts include the ECE department at Georgia Tech and Caltech's Department of Computing and Mathematical Sciences, plus a visiting professorship at UC Berkeley.

  6. 2024

    A stochastic Nash solver

    With Ian Gemp and Luke Marris, he proposes a loss function for approximate Nash equilibria in normal-form games that allows unbiased Monte Carlo estimation and stochastic optimization. The paper receives an ICLR 2024 honorable mention.

  7. 2025

    Game theory for AI safety

    In April 2025, he presents “Game Theoretic Approaches to AI Safety” at the Simons Institute. He coauthors the 2025 report “Multi-Agent Risks from Advanced AI,” which groups risks into miscoordination, conflict, and collusion.

  8. As of October 2026

    Senior staff research scientist

    He is a senior staff research scientist at Google DeepMind. In 2026, he coauthors “Deep Incentive Design with Differentiable Equilibrium Blocks,” a framework that trains neural networks to design incentives across contract design, machine scheduling, and inverse-equilibrium problems.

Career

  1. Since 2023Google DeepMindSenior Research Scientist
  2. From 2023Singapore University of Technology and DesignAssociate Professor
  3. 2015University of California, BerkeleyResearch Fellow in Economics and Computation

Education

  1. 2010Cornell UniversityPhD

From the biography.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Georgios Piliouras. 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.
  2. 16% of AI career moves in the 2020s went from a university to a companyIncludes Georgios Piliouras. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  3. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Georgios Piliouras. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  4. 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.

Colleagues

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

Sources and credits

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

  1. Georgios Piliouras simons.berkeley.edu. Checked 21 October 2026.
  2. Faculty and staff Achievements – 2010 to 2015 sutd.edu.sg. Checked 21 October 2026.
  3. Georgios PILIOURAS — Singapore Conference on AI scai.gov.sg. Checked 21 October 2026.
  4. SUTD wins best paper at 35th AAAI conference on Artificial Intelligence 2021 sutd.edu.sg. Checked 21 October 2026.
  5. ICLR 2024 Outstanding Paper Awards blog.iclr.cc. Checked 21 October 2026.
  6. Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization deepmind.google. Checked 21 October 2026.
  7. Schedule — Safety-Guaranteed LLMs simons.berkeley.edu. Checked 21 October 2026.
  8. [2502.14143] Multi-Agent Risks from Advanced AI arxiv.org. Checked 21 October 2026.
  9. Georgios Piliouras georgiospiliouras.com. Checked 21 October 2026.
  10. Google at ICML 2026 research.google. Checked 21 October 2026.
  11. Deep Incentive Design with Differentiable Equilibrium Blocks arxiv.org. Checked 21 October 2026.