Theo Knijnenburg, PhD

Senior Research Scientist

Shmulevich Lab

“My goal is to help further the understanding of biology and disease through integration of large and heterogeneous datasets with a strong emphasis on human interpretability of the computationally inferred models. In order to bridge the gap between computational and biological complexity on the one hand and human interpretation on the other, my research focuses on: logic models, multiscale analysis, interpretation of ensemble classifiers, statistical hypothesis testing and visualization.” – Theo

Theo actively collaborates with the Bioinformatics Lab at the Delft University of Technology and the Bioinformatics and Statistics Group at the Netherlands Cancer Institute.

Personal page including publications and software

Shmulevich Lab

ISB Editorial Board: Member from August 2013 to Present

PhD, Delft University of Technology

Bioinformatics

Machine learning

Statistics

Information Theory

Digital Signal Processing