Jan N. van Rijn holds a tenured position as assistant professor at Leiden University, where he works in the computer science department (LIACS) and Automated Design of Algorithms cluster (ADA). His research interests include trustworthy artificial intelligence, automated machine learning (AutoML) and metalearning.

More information about Jan van Rijn

PhD candidates

• 
  Annelot Bosman PhD candidate
• 
  Mike Huisman PhD candidate / Guest
• 
  Matthias König PhD candidate
• 
  Andreas Paraskeva PhD candidate

News

• 
  27 June 2023 Conference on opportunities and dangers of AI: ‘Europe needs a daring vision’
• 
  28 September 2022 By educating and doing research together, you can discover things that really matter.
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  22 March 2022 How to make AI systems learn better
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  29 January 2021 Twitter use helps predict flooding
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  23 November 2020 BNAIC/Benelearn conference big success
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  10 December 2019 Leiden University as source of inspiration for new Master's programme in Artificial Intelligence and Data Science

See also

• Young Academy Leiden
• OpenML

Jan N. van Rijn holds a tenured position as assistant professor at Leiden University, where he works in the computer science department (LIACS) and Automated Design of Algorithms cluster (ADA). His research interests include trustworthy artificial intelligence, automated machine learning (AutoML) and metalearning. He obtained his PhD in Computer Science in 2016 at Leiden Institute of Advanced Computer Science (LIACS), Leiden University (the Netherlands). During his PhD, he developed OpenML.org, an open science platform for machine learning, enabling sharing of machine learning results. He made several funded research visits to the University of Waikato (New Zealand) and the University of Porto (Portugal). After obtaining his PhD, he worked as a postdoctoral researcher in the Machine Learning lab at the University of Freiburg (Germany), headed by Prof. Dr. Frank Hutter, after which he moved to work as a postdoctoral researcher at Columbia University in the City of New York (USA). His research aim is to democratize access to machine learning and artificial intelligence across societal institutions, by developing knowledge and tools that support domain experts. He is one of the authors of the book ‘Metalearning: Applications to Automated Machine Learning and Data Mining’ (published by Springer).

Publications