I’m a researcher in Computational Humanities and Cultural Evolution at Amsterdam’s Meertens Institute, affiliated with the Royal Netherlands Academy of Arts and Sciences. I study the intricacies of cultural change and experiment with methods to quantify cultural diversity and complexity. A significant aspect of my research is understanding and accounting for biases in these quantifications. I like to use computational models from fields such as Machine Learning, Cultural Evolution, and Ecology to aid these investigations. Beyond research, I have a passion for teaching computer programming, especially within the Humanities context. Together with Mike Kestemont and Allen Riddell, I published the book “Humanities Data Analysis” with Princeton University Press, which guides readers on leveraging Python for analyzing Humanities data. Check out the open access edition here!

Find me on , , , and see my CV .

Notebooks bias chao1 diversity emacs FAD folktales functional gtd heterogeneity hill-numbers history homogeneity jupyter loss org-mode pymc3 python regression replacement richness sampling semantics shakespeare shared-richness similarity turing unseen-species voc zelterman
Featured Publications

For a complete list of publications, see my CV.