PeopleofSuperintelligence

Researcher

Maximilian Nickel

Maximilian Nickel is an AI researcher whose work spans relational learning, geometric representations, generative models and AI in complex social systems. He earned a computer science diploma with honors in 2009 and a PhD at Ludwig Maximilian University of Munich in 2013, and held a postdoctoral role at MIT. He coauthored RESCAL and Holographic Embeddings for relational and knowledge-graph data; Moser Flow applied generative modeling to manifolds and received a 2021 NeurIPS Outstanding Paper Award. In 2024, he submitted No Free Delivery Service, which examined train-test evaluation in complex social systems and called for rigorous model validation. He is Research Director at Meta and serves on the UN Independent International Scientific Panel on AI.

Badges

Timeline

  1. 2009

    A computer science diploma

    He earns a diploma with honors in computer science from Ludwig Maximilian University of Munich in 2009.

  2. 2011

    RESCAL for relational learning

    In 2011, he coauthors A Three-Way Model for Collective Learning on Multi-Relational Data with Volker Tresp and Hans-Peter Kriegel. The paper presents RESCAL, a three-way tensor factorization for collective learning from relational data.

  3. 2013

    A PhD and MIT postdoc

    In 2013, he earns a PhD summa cum laude from Ludwig Maximilian University's Department for Informatics under Volker Tresp. By 2013, he is a postdoctoral fellow with MIT's Laboratory for Computational and Statistical Learning, hosted at the Center for Biological and Computational Learning.

  4. 2015

    Holographic knowledge graph embeddings

    In 2015, he posts Holographic Embeddings of Knowledge Graphs with Lorenzo Rosasco and Tomaso Poggio. HolE uses circular correlation to build compositional vector representations of whole knowledge graphs and supports link prediction.

  5. 2021

    Moser Flow wins an award

    In 2021, he coauthors Moser Flow: Divergence-based Generative Modeling on Manifolds with Noam Rozen, Aditya Grover and Yaron Lipman. The paper introduces a continuous normalizing flow for data on complex manifolds and receives a NeurIPS Outstanding Paper Award.

  6. 2024

    No Free Delivery Service

    In November 2024, he submits No Free Delivery Service, which examines limits of passive data collection in complex social systems. It argues that the train-test paradigm fails for widely considered inference settings and that rigorous model validation is needed to assess AI outcomes.

  7. As of October 2026

    Research Director at Meta

    He is a Research Director at Meta, leading research on alignment and democratic governance of frontier AI. In February 2026, the General Assembly appoints him to the Independent International Scientific Panel on AI for a three-year term.

Career

  1. Since 2026United NationsMember
  2. NowMetaResearch Director
  3. Until 2013Massachusetts Institute of TechnologyPostdoctoral Fellow

Education

  1. 2009LMU MunichDiploma in computer science

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Maximilian Nickel. 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.
  2. Of 216 AI researchers who entered public life, 83 held advisory seats and 58 took public rolesIncludes Maximilian Nickel. Of 216 AI researchers who entered public life, 83 held advisory seats and 58 took public roles. Another 97 people moved from public careers into AI organizations or research, with 62% of dated records starting from 2020 on.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Meta. 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.
  4. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Meta. 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.

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 Maximilian Nickel yet. Send us a free-licensed photo.

  1. Maximilian Nickel cip.ifi.lmu.de. Checked 21 October 2026.
  2. A Three-Way Model for Collective Learning on Multi-Relational Data mlanthology.org. Checked 21 October 2026.
  3. Holographic Embeddings of Knowledge Graphs arxiv.org. Checked 21 October 2026.
  4. Moser Flow: Divergence-based Generative Modeling on Manifolds papers.neurips.cc. Checked 21 October 2026.
  5. NeurIPS 2021 Awards neurips.cc. Checked 21 October 2026.
  6. No Free Delivery Service: Epistemic limits of passive data collection in complex social systems arxiv.org. Checked 21 October 2026.
  7. Panel Members | Independent International Scientific Panel on AI un.org. Checked 21 October 2026.
  8. Indian professor among 40 experts on new UN AI panel india.un.org. Checked 21 October 2026.