Koen J. van Benthem

This paper evaluates how neural networks can infer diversification mechanisms from phylogenies under evolutionary relatedness dependence, finding moderate classification accuracy and parameter identifiability issues.

This paper introduces a neural network ensemble method for estimating diversification parameters from phylogenetic trees, showing improved performance and robustness compared to maximum likelihood estimation.

This paper introduces a nanobody-based method to detect newly forming nuclear pore complexes in yeast, revealing novel insights into their assembly and localization.

The paper tests if the marginal male hypothesis combined with density-dependent pup survival can explain density differences between pinniped colonies.