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Personal profile

Quote

“To democratize machine learning, we need a more principled approach to experimentation, understand how to build machine learning systems, and progressively automate this process as much as possible."

Research profile

Joaquin Vanschoren is an Assistant Professor of Machine Learning at the Eindhoven University of Technology (TU/e). His research focuses on the progressive automation of machine learning. He founded and leads OpenML.org, an open science platform allowing scientists to share datasets and train many machine learning models from many software tools in a frictionless yet principled way. It also organizes all results online, providing detailed insight into the performance of machine learning techniques, and allowing a more scientific, data-driven approach to building new machine learning systems. Subsequently, he uses this knowledge to create automatic machine learning (AutoML) techniques that learn from these experiments to help people build better models, faster, or automate the process entirely. 

Machine learning is the science of making computers act without being explicitly programmed. Instead, algorithms are used to find patterns in data. During his courses, Joaquin explains the foundations of machine learning algorithms work internally, understand when and how to use key concepts and techniques, and offers hands-on experience in getting them to work for yourself. Students are stimulated to engage in the key underpinnings of machine learning, and leverage this to quickly and powerfully apply this knowledge to tackle new problems.

Academic background

Joaquin Vanschoren received his PhD in Engineering from the University of Leuven, Belgium, where he also obtained an MSc in Engineering Computer Science (with honors). Research visits have taken Joaquin to IBM and Amazon Research, the Jozef Stefan Institute and the Universities of Waikato, Aberystwyth, Paris-Sud, Dortmund, Geneva, Zurich, Porto, Bournemouth, Aberdeen, and Indiana. Before joining TU/e, Joaquin was a Data Scientist at CityLife (now Joyn).

He has been keynote speaker at the European Conference on Data Analysis, Statistical Computing, and workshops at Neural Information Processing Systems (NIPS) and the International Conference on Machine Learning (ICML). He also co-organized machine learning conferences (e.g. ECMLPKDD 2013, LION 2016) and many workshops, including the AutoML Workshop series at ICML. He is co-chair of the W3C ML-Schema Community Group and a senior member of the Dutch School for Information and Knowledge Systems. Joaquin is a member of wide range of committees, including Neural Information Processing Systems, ACM SIGKDD Conference on Knowledge Discovery and Data Mining and International Joint Conferences on Neural Networks and Artificial Intelligence. He also acts as a referee for various journals, such as Machine Learning Journal, Journal of Machine Learning Research and Data Mining and Knowledge Discovery.

Affiliated with

* Philips Research

* Amazon Research

Fingerprint Dive into the research topics where Joaquin Vanschoren is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

Aslib: a benchmark library for algorithm selection

Bischl, B., Kerschke, P., Kotthoff, L., Lindauer, M., Malitsky, Y., Fréchette, A., Hoos, H., Hutter, F., Leyton-Brown, K., Tierney, K. & Vanschoren, J., 2016, In : Artificial Intelligence. 237, p. 41-58 18 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • 53 Citations (Scopus)
    1 Downloads (Pure)

    Reduction of false arrhythmia alarms using signal selection and machine learning

    Eerikäinen, L. M., Vanschoren, J., Rooijakkers, M. J., Vullings, R. & Aarts, R. M., 2016, In : Physiological Measurement. 37, 8, p. 1204-1216

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
  • 16 Citations (Scopus)
    5 Downloads (Pure)

    OpenML : networked science in machine learning

    Vanschoren, J., van Rijn, J. N., Bischl, B. & Torgo, L., 2013, In : SIGKDD Explorations. 15, 2, p. 49-60 12 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 4 Downloads (Pure)

    A survey of intelligent assistants for data analysis

    Serban, F., Vanschoren, J., Kietz, J. U. & Bernstein, A., 2013, In : ACM Computing Surveys. 45, 3, p. 31/1-35

    Research output: Contribution to journalArticleAcademicpeer-review

  • 67 Citations (Scopus)
    5 Downloads (Pure)

    Selecting classification algorithms with active testing

    Leite, R., Brazdil, P. & Vanschoren, J., 2012, International Workshop on Machine Learning and Data Mining in Pattern Recognition. p. 117-131 15 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Prizes

    Dutch Data Prize

    Joaquin Vanschoren (Recipient), 9 Nov 2016

    Prize: OtherDiscipline relatedScientific

    Microsoft Azure research Award

    Joaquin Vanschoren (Recipient), 13 Jul 2017

    Prize: OtherDiscipline relatedProfessional

  • Amazon Research Award

    Joaquin Vanschoren (Recipient), 15 Jan 2019

    Prize: OtherDiscipline relatedScientific

  • Microsoft Azure Research Award

    Joaquin Vanschoren (Recipient), 13 Jul 2016

    Prize: OtherDiscipline relatedProfessional

  • Activities

    • 3 Invited talk
    • 1 Keynote talk

    Machine Learning, better, together.

    Joaquin Vanschoren (Speaker)
    8 Dec 2018

    Activity: Talk or presentation typesInvited talkScientific

    Tutorial on Automatic Machine Learning

    Frank Hutter (Speaker), Joaquin Vanschoren (Speaker)
    3 Dec 2018

    Activity: Talk or presentation typesKeynote talkScientific

    Democratizing and Automating Machine Learning

    Joaquin Vanschoren (Speaker)
    28 Aug 2018

    Activity: Talk or presentation typesInvited talkScientific

    Democratizing and Automating Machine Learning

    Joaquin Vanschoren (Speaker)
    15 Jun 2018

    Activity: Talk or presentation typesInvited talkScientific

    Courses

    CSE - Web Science

    1/09/15 → …

    Course

    Data mining

    1/09/15 → …

    Course

    Press / Media

    Beyond human: How artificial intelligence is evolving all by itself

    Joaquin Vanschoren

    20/04/20

    1 item of Media coverage

    Press/Media: Expert Comment

    Artificial intelligence is evolving all by itself

    Joaquin Vanschoren

    13/04/2015/04/20

    2 items of Media coverage

    Press/Media: Expert Comment

    Artificial intelligence automatically develops science

    Joaquin Vanschoren

    14/04/20

    1 item of Media coverage

    Press/Media: Expert Comment

    Artificial intelligence is evolving all by itself - Science Magazine

    Joaquin Vanschoren

    13/04/20

    1 item of Media coverage

    Press/Media: Expert Comment

    4. The internet will continue to make life better

    Joaquin Vanschoren

    28/10/19

    1 item of Media coverage

    Press/Media: Expert Comment

    Student theses

    A computational biology framework: a data analysis tool to support biomedical engineers in their research

    Author: Beishuizen, T., 29 Nov 2018

    Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)

    Student thesis: Master

    Active learning for text classification

    Author: Šostak, T., 24 Sep 2018

    Supervisor: Vanschoren, J. (Supervisor 1) & Schaefers, K. (External person) (External coach)

    Student thesis: Master

    File

    Anomaly detection in wireless mesh lighting networks

    Author: Chand, S., 25 Sep 2017

    Supervisor: Vanschoren, J. (Supervisor 1), Zappaterra, L. (External person) (External coach), Syed, E. (External person) (External coach) & Casale, P. (External coach)

    Student thesis: Master

    File

    Automated machine learning with gradient boosting and meta-learning

    Author: van Hoof, J., 28 Jan 2019

    Supervisor: Vanschoren, J. (Supervisor 1)

    Student thesis: Master

    File

    Automatic construction of machine learning pipelines

    Author: Gijsbers, P., 30 Oct 2017

    Supervisor: Vanschoren, J. (Supervisor 1), Pechenizkiy, M. (Supervisor 2) & Buchin, K. (Supervisor 2)

    Student thesis: Master

    File