Our paper (also, my first first-author paper) is now available in MEE early view! In this study, we introduced a state-dependent Ornstein-Uhlenbeck model we implemented in RevBayes to test adaptive hypotheses in macroevolution. (1/3) besjournals.onlinelibrary.wiley.com/doi/10.1111/...

An efficient Bayesian phylogenetic approach for joint inference of continuous and discrete trait evolution under a state‐dependent Ornstein–Uhlenbeck model

Macroevolutionary adaptation of a continuous trait to different discrete states across species can be modelled using a phylogenetic state-dependent Ornstein–Uhlenbeck (OU) process. Existing infere...

besjournals.onlinelibrary.wiley.com

New paper out from @hoehna.bsky.social Lab, led by the brilliant @bjorntko.bsky.social! We applied the Pesto software (Kopperud & Höhna, 2025) to look at lineage-specific shifts in diversification rate on large, densely-sampled phylogenies across the Tree of Life doi.org/10.1093/evle...

Out now in Biology Letters, my latest paper tackles an apparently simple question: how many characters are needed to reconstruct a phylogeny? TL;DR: in most cases between 100 and 500, more than a substantial portion of morphological datasets, but the story is more complex... doi.org/10.1098/rsbl...