Thomas Van Dongen

Thomas Van Dongen

Data Scientist

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location of Thomas Van DongenGroningen, Groningen, Netherlands

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  • Timeline

  • About me

    Head of AI Engineering @ Springer Nature | The Minish Lab

  • Education

    • Praedinius Gymnasium

      2009 - 2015
    • Rijksuniversiteit Groningen

      2015 - 2018
      Bachelor's degree Information Science

      Activities and Societies: A.S.V. Dizkartes

    • University of Groningen

      2018 - 2020
      Master's degree Artificial Intelligence

      Graduated cum laude (9.5 thesis, 8.4 average grade).Thesis title: "Quality Prediction of Scientific Documents Using Textual and Visual Content".

    • Rijksuniversiteit Groningen

      2017 - 2018
      Pre-master Artificial Intelligence

      Completed all pre-master courses during my Information Science bachelor.

    • Rijksuniversiteit Groningen

      2016 - 2017
      Minor Artificial Intelligence
  • Experience

    • IChoice4U BV

      Dec 2017 - May 2019
      Data Scientist

      Worked as a data scientist/research assistant on data from Pscribe.

    • Gronalytica

      Jun 2019 - May 2021
      Co-founder

      Developed a platform for automatic grading of pharmaceutical exams at pharmagrader.com. Funded by SNN.

    • Slimmer AI

      May 2021 - Oct 2023
      Machine Learning Engineer

      Worked as a machine learning engineer and tech lead of the recommenders team, developing ML products in the scientific domain.

    • Springer Nature

      Oct 2023 - now

      Leading a team of engineers to build AI-driven solutions that improve scientific publishing.For over 180 years Springer Nature has been advancing discovery by providing the best possible service to the whole research community. We help researchers uncover new ideas, make sure all the research we publish is significant, robust and stands up to objective scrutiny, that it reaches all relevant audiences in the best possible format, and can be discovered, accessed, used, re-used and shared. The Slimmer AI science division was acquired by Springer Nature after successfully working on ML products together for a number of years. I continued my role as technical lead of the recommenders team.

      • Head of AI Engineering

        Dec 2024 - now
      • Senior Machine Learning Engineer

        Oct 2023 - Dec 2024
    • The Minish Lab

      Sept 2024 - now
      Co-founder

      Developing open source ML software with a focus on efficiency and eco-friendly models. Our GitHub org: https://github.com/MinishLab.We are currently working on the following open source projects:- Model2Vec: Fast State-of-the-Art Static Embeddings- Vicinity: Lightweight Nearest Neighbors with Flexible Backends- SemHash: Fast Semantic Text Deduplication- Potion models: State-of-the-art Static Embedding Models

  • Licenses & Certifications