Researcher

Erik Meijer

Also known as ERIK MEIJER

Erik Meijer works across programming languages, machine-learning optimization and AI agent verification. He earned a PhD at Nijmegen in 1992 and taught software technology at Utrecht during the 1990s. He joined Microsoft Research in Seattle in 1999, led its Cloud Programmability Team, developed LINQ and became a part-time professor at TU Delft in 2011 before starting Applied Duality in 2013. The optimizer paper he coauthored won a NeurIPS Outstanding Paper Award in 2022; he presented a language model as a programming-language virtual machine at Delft in February 2024 and joined Normal Computing as vice president of engineering in 2025. At AI Engineer World’s Fair in 2026, he presented work connecting Universalis with Automind and checking AI agent plans before execution; as of October 2026, he is a senior fellow at Normal Computing.

Now at
Leibniz Labs and Normal Computing
Born
1963
Works
154
Citations
3,417
h-index
32

Years link to their sources. Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1990s

    A PhD and Utrecht teaching

    He earns a PhD at Nijmegen University in 1992 and teaches software technology at Utrecht University during the 1990s.

  2. 1999–2011

    Microsoft Research and LINQ

    In 1999, he leaves Utrecht for Microsoft Research in Seattle. By 2011, he leads the Cloud Programmability Team and develops LINQ for querying shared data; his Microsoft work includes C#, Visual Basic, Volta and Reactive Extensions for .NET.

  3. 2011

    Part-time professor at Delft

    In 2011, he becomes a part-time professor of Cloud Programming within TU Delft’s Software Engineering Research Group. He continues to lead Microsoft’s Cloud Programmability Team.

  4. 2013

    Starting Applied Duality

    In early 2013, he leaves Microsoft and starts Applied Duality Incorporated.

  5. 2022

    A NeurIPS optimizer award

    In 2022, he coauthors “Gradient Descent: The Ultimate Optimizer” with Kartik Chandra, Audrey Xie and Jonathan Ragan-Kelley. The method uses a modification to backpropagation to compute hypergradients, letting stochastic gradient descent tune its own hyperparameters; NeurIPS gives the paper an Outstanding Paper Award.

  6. February 2024

    Language models as virtual machines

    In February 2024, he is Meta’s senior director of engineering and presents “Virtual Machinations” at TU Delft. The talk describes a natural-language programming language implemented with a large language model as its virtual machine for generating instructions.

  7. 2025

    Joining Normal Computing

    In 2025, he joins Normal Computing as vice president of engineering and works on formal modeling, compiler design and system coordination for Normal EDA and Normal ASICs.

  8. As of October 2026

    Formal checks for AI agents

    As of October 2026, he is a senior fellow at Normal Computing. At AI Engineer World’s Fair in 2026, he participates as a research scholar affiliated with Leibniz Labs and connects Universalis with Automind, an agent harness built around checked execution plans. He proposes using Horn clause logic and SMT solvers to check agent-generated plans against formalized business rules before execution.

Career

  1. Since 2025Normal ComputingVice President of Engineering
  2. NowLeibniz LabsResearch Scholar
  3. 2024MetaDirector of Engineering
  4. From 2013Applied Duality IncorporatedFounder
  5. 2011–2013MicrosoftLead, Cloud Programmability Team
  6. 2011–2014Delft University of TechnologyPart-time Professor of Cloud Programming
  7. 1999–2011Microsoft Research
  8. 1993–2002Utrecht UniversitySoftware technology teacher

Education

  1. 1992Radboud University NijmegenPhD

Sources and credits

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  1. Microsoft software-ontwikkelaar Erik Meijer wordt deeltijdhoogleraar - Engineers Online engineersonline.nl. Checked 22 October 2026.
  2. Hoogleraar cloud computing presenteert zich op TEDx - Delta delta.tudelft.nl. Checked 22 October 2026.
  3. Virtual Machinations: Leveraging the Linguistic Bytecode of Large Language Models to Emulate Programming Language VMs tudelft.nl. Checked 22 October 2026.
  4. Erik Meijer, Microsoft - QCon San Francisco 2012 qconsf.com. Checked 22 October 2026.
  5. #NeurIPS2022 outstanding paper – Gradient descent: the ultimate optimizer - AIhub aihub.org. Checked 22 October 2026.
  6. Gradient Descent: The Ultimate Optimizer - NeurIPS Proceedings papers.neurips.cc. Checked 22 October 2026.
  7. Software Dev in 2033 - Engineering Leadership Podcast sfelc.com. Checked 22 October 2026.
  8. Normal Computing Expands Leadership Team normalcomputing.com. Checked 22 October 2026.
  9. Erik Meijer: Bio, Work & Ideas ai.engineer. Checked 22 October 2026.
  10. Return of the Theorem videos.itrevolution.com. Checked 22 October 2026.
  11. Speakers — IT Revolution Video Library videos.itrevolution.com. Checked 22 October 2026.
  12. Normal Computing Org Chart, Leadership & Team (2026) — InsideOrg insideorg.com. Checked 22 October 2026.