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 aspects of cultural change and experiment with methods to quantify cultural diversity. A significant aspect of my recent work 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!

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Notebooks Accumulation Bias Chao1 Chao2 Collection Diversity Emacs FAD Folktales Functional Gtd Heterogeneity Hill-Numbers History Homogeneity Incidence Jupyter Loss Org-Mode Pymc3 Python Rarefaction 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.