Johannes Textor
Assistant Professor (Universitair Docent)
Radboud Institute for Molecular Life Sciences,
Tumor Immunology department,
Radboud University Medical Center,
Nijmegen, The Netherlands

Guest Researcher
Institute for Computing and Information Sciences
Radboud University,
Nijmegen, The Netherlands

Visiting Associate Professor
Leeds Institute for Data Analytics
University of Leeds, UK

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Contact Information

278 Tumor Immunology
Geert Grooteplein 26-28
6525 GA Nijmegen
The Netherlands

mail: johannes.textor }at{
or: johannes.textor }at{


I lead the Computational Immunology group at the department of Tumor Immunology, Radboud Institute for Molecular Life Sciences, Nijmegen, The Netherlands. We use simulation models (like this one), machine learning, and causal inference methods (like DAGs) to study information processing in the adaptive immune sytem.

Our work has three main goals. First and foremost, we want to understand how the immune system perceives and interacts with "abnormal" information coming from pathogens or tumors. Such knowledge is useful to design immunological treatments such as vaccines or tumor immunotherapies.

Second, we are interested in designing immunologically inspired machine learning and information processing systems -- Artificial Immune Systems. We use these to understand more fundamentally how the immune system stores, retrieves and modifies information, and how this differs from the second major information-processing system in our bodies, the central nervous system. Ultimately, our goal is to understand why these two marvelously complex information-processing systems exist in our bodies, why they are so different in their architecture, and how they complement each other.

Finally, we are happy to work with an amazingly diverse and inspiring lot of colleagues at the Tumor Immunology department, and we try our best to help them in their research by helping to address computational questions and identifying appropriate statistical methodology.


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PhD Dissertation

My PhD thesis was carried out at the Institute of Theoretical Computer Science, University of Luebeck, Germany, under joint supervision of Rüdiger Reischuk (Theoretical Computer Science) and Jürgen Westermann (Immunology).

Johannes Textor:
Search and Learning in the Immune System: Models of Immune Surveillance and Negative Selection.
PhD Dissertation, University of Luebeck, 2011.
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Some software I wrote for my research is available for download:

Awards & important grants

Dates listed refer to the year in which the award was given.