I am a computational and theoretical evolutionary paleobiologist who is primarily interested in developing novel methodologies and tools in order to answer questions about macroevolutionary dynamics in deep time.

Currently, I am a postdoctoral researcher with Sebastian Höhna at the GeoBio-Center at Ludwig-Maximilians-Universität München, working on developing new species tree/gene tree inference methods in RevBayes.


My research uses statistical modelling, Bayesian inference, Big Data, and machine learning to understand morphological evolution and macroevolutionary patterns and processes. I am particularly interested in bringing a ‘next-generation’ approach (e.g., high-throughput automated data generation) to studying fossils and morphology in a phylogenetic context. I am also interested in the interplay between morphology and genetics/genomics, including methodological considerations during phylogenetic inference (e.g., phylogenetic incongruence, total-evidence analyses, etc.).

I work with both vertebrate and invertebrate systems. Taxonomic groups I have worked with include turtles, squamate lizards, birds, mammals, and planktonic foraminifera.

By bridging the fields of statistical modelling, computer science, and evolutionary biology, I aim to deliver a unique and creative perspective towards understanding evolution and the history of life on earth.