Universiteit Leiden

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Jan van Rijn

Assistant professor

Name
Dr. J.N. van Rijn
Telephone
+31 71 527 2727
E-mail
j.n.van.rijn@liacs.leidenuniv.nl
ORCID iD
0000-0003-2898-2168

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

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).

Assistant professor

  • Science
  • Leiden Inst of Advanced Computer Science

Work address

Gorlaeus Building
Einsteinweg 55
2333 CC Leiden
Room number BM4.13

Contact

  • No relevant ancillary activities
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