I’m interested in how distributions of cultural traits / artifacts change over time and how culture emerges from interacting individuals and is continually reshaped by them. 

I combine computational models with psychology experiments to understand the forces that cause particular changes in culturally-transmitted data sets over time.

Here are some of my favorite topics:

1)  The role of drift in cultural evolution.

  1. 2) Framing learning biases as selection pressures on language.

  1. 3) Bayesian models of cultural evolution and their equivalences to population genetics models of evolution.

  1. 4) How individual learning biases map onto the properties of the language that those learners share.

  1. 5) Micro- and macro-level analyses of cultural evolution and how to bridge them.

  1. 6) Linguistic regularization and the domain-general and domain-specific learning biases that give rise to it.