Gijs van Tulder

Gijs van Tulder

I am a scientific researcher in machine learning for medical image analysis from the Netherlands.

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Work

I work as a postdoc at the Data Science group of the Radboud University in Nijmegen, the Netherlands, on transfer learning for breast cancer screening. I teach deep learning to MSc students.

Until the end of 2019, I worked as a PhD student and researcher at the Biomedical Imaging Group Rotterdam, part of the Erasmus MC University Medical Center in Rotterdam, the Netherlands.

Research interests

I work on domain adaptation and feature learning, and their applications in model-based medical image analysis. I am interested in the theoretical and practical aspects of machine learning and computer vision.

PhD thesis

Open-source contributions

See my profile on GitHub for a few other projects.

Publications

See my profile on Google Scholar or Semantic Scholar for co-authored papers.

I have open access PDFs for some additional papers.

Master’s thesis

Links

You can also find me here:

Previously

After a reasonably successful but unfulfilling start as a student of economics and business, I had great fun as a computer science student at the Delft University of Technology. At the end of 2012 I completed my Master of Science in Media and Knowledge Engineering with a thesis on a theoretical aspect of active learning.

In early 2013 I started as a PhD student at the Biomedical Imaging Group Rotterdam, part of the Department of Radiology of the Erasmus MC University Medical Center in Rotterdam, the Netherlands.

I enjoy programming, tinkering with Linux, and web development. During my studies I worked as a freelance web developer, mostly for De Digitale School and Dalton Voorburg.

See my illustrated archive and old web development articles for some of this earlier work.