PeopleofSuperintelligence

Researcher

Paul Groth

Also known as Paul Thomas Groth, Paul T. Groth

Paul Groth is a computer scientist who works on data provenance, data integration and data management for machine learning. He earned a PhD in computer science at the University of Southampton in 2007, worked at the Vrije Universiteit Amsterdam as a postdoctoral researcher and assistant professor, and served as Disruptive Technology Director at Elsevier Labs from 2015 to 2018. He co-chaired the W3C Provenance Working Group, wrote the book Provenance: An Introduction to PROV with Luc Moreau in 2013, and was among the authors of the FAIR Guiding Principles in 2016. In 2018 he became professor of Algorithmic Data Science at the University of Amsterdam, where he leads the Intelligent Data Engineering Lab, and in June 2023 he co-founded longform.ai, a spin-off that uses generative AI to extract insights from audio. He is a professor at the University of Amsterdam and the CTO of longform.ai, and his 2025 papers include work on neurosymbolic reasoning.

Now at
University of Amsterdam and longform.ai
Badges

Timeline

  1. 2007

    A PhD at Southampton

    He earns his PhD in computer science from the University of Southampton in 2007 and does research at the University of Southern California.

  2. 2009–2015

    Researcher at VU Amsterdam

    He joins the Vrije Universiteit Amsterdam as a postdoctoral researcher and later becomes assistant professor there. In 2010, he coauthors "The anatomy of a nanopublication" with Andrew Gibson and Jan Velterop, presenting a model of nanopublications, which are core scientific statements with associated context.

  3. 2013

    Provenance standard and PROV book

    As co-chair of the W3C Provenance Working Group, he helps produce an international standard for data provenance interchange. In 2013, he and Luc Moreau publish Provenance: An Introduction to PROV, a hands-on guide for web and linked data professionals, with Morgan & Claypool.

  4. 2015–2018

    Elsevier Labs and FAIR principles

    From 2015 to 2018, he is Disruptive Technology Director at Elsevier Labs. In 2016, he is among the authors of "The FAIR Guiding Principles for scientific data management and stewardship", published in Scientific Data.

  5. 2018

    Professor at Amsterdam

    In November 2018, he becomes professor of Algorithmic Data Science at the University of Amsterdam's Faculty of Science and leads the new Intelligent Data Engineering Lab (INDElab). The lab works on large-scale data integration, data management for machine learning and causality-inspired machine learning. He brings experience as lead architect of the 29-member Open PHACTS project, which developed data platforms to lower the barriers of drug discovery.

  6. June 2023

    Co-founding longform.ai

    He and Pim Stouten co-found longform.ai in June 2023, a University of Amsterdam spin-off based in Amsterdam. Its platform uses generative AI to extract insights from large amounts of audio data, and the company receives €300,000 in funding from Innovatiefonds Noord-Holland.

  7. 2025

    Neurosymbolic reasoning papers

    In 2025, he coauthors "Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations" with Bradley P. Allen, Prateek Chhikara, Thomas Macaulay Ferguson and Filip Ilievski, a method for integrating a large language model into the interpretation function of a paraconsistent logic. He also coauthors "Neurosymbolic Association Rule Mining from Tabular Data" with Erkan Karabulut and Victoria Degeler, which introduces the neurosymbolic method Aerial+. With Christine Borgman, he publishes "Infrastructure, Intermediaries, and Artificial Intelligence", a rejoinder in Harvard Data Science Review.

  8. As of October 2026

    Professor and longform.ai CTO

    He is Professor of Algorithmic Data Science at the University of Amsterdam, where he leads INDElab at the Informatics Institute. He is also the co-founder and CTO of longform.ai.

Career

  1. Since 2023longform.aiCo-founder and CTO
  2. Since 2018University of AmsterdamProfessor of Algorithmic Data Science
  3. 2015–2018ElsevierDisruptive Technology Director
  4. 2009–2015Vrije Universiteit AmsterdamPostdoctoral Researcher; Assistant Professor
  5. World Wide Web ConsortiumCo-chair

Education

  1. 2007University of SouthamptonPhD in Computer Science

From the biography.

  1. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Paul Groth. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes University of Amsterdam. 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. The United States employs an estimated 48% of people shaping AIIncludes University of Amsterdam. We estimate where the people shaping AI work today, how universities, companies and research institutes split across countries, and how country shares have changed since the 1960s.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of Amsterdam. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.

Colleagues

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

Sources and credits

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

  1. Paul Groth, professor of Algorithmic Data Science - Universiteit van Amsterdam uva.nl. Checked 22 October 2026.
  2. The anatomy of a nanopublication researchcollaborations.elsevier.com. Checked 22 October 2026.
  3. Brief Bio · Paul Groth pgroth.com. Checked 22 October 2026.
  4. PROV Book provbook.org. Checked 22 October 2026.
  5. The FAIR Guiding Principles for scientific data management and stewardship | Scientific Data nature.com. Checked 22 October 2026.
  6. Intelligent Data Engineering Lab (INDElab) - Informatics Institute - University of Amsterdam ivi.uva.nl. Checked 22 October 2026.
  7. longform.ai receives funding to extract insights from audio data lab42.uva.nl. Checked 22 October 2026.
  8. Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations proceedings.mlr.press. Checked 22 October 2026.
  9. Neurosymbolic Association Rule Mining from Tabular Data arxiv.org. Checked 22 October 2026.
  10. From Data Creator to Data Reuser: Distance Matters - Leiden University universiteitleiden.nl. Checked 22 October 2026.